A hyper-heuristic algorithm via proximal policy optimization for multi-objective truss problems

This paper proposes a hyper-heuristic evolutionary algorithm via proximal policy optimization, named HHEA-PPO, for solving multi-objective truss optimization problems. HHEA-PPO has a two-layer structure: a high-level strategy and low-level heuristics. The high-level strategy consists of proximal pol...

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Published in:Expert systems with applications Vol. 256; p. 124929
Main Authors: Yin, Shihong, Xiang, Zhengrong
Format: Journal Article
Language:English
Published: Elsevier Ltd 05.12.2024
Subjects:
Dynamic crowding distance
Hyper-heuristic algorithm
Multi-objective optimization
Proximal policy optimization
Truss optimization
Hyper-heuristic algorithm
Proximal policy optimization
Multi-objective optimization
Dynamic crowding distance
Truss optimization
ISSN:0957-4174
Online Access:Get full text
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Abstract This paper proposes a hyper-heuristic evolutionary algorithm via proximal policy optimization, named HHEA-PPO, for solving multi-objective truss optimization problems. HHEA-PPO has a two-layer structure: a high-level strategy and low-level heuristics. The high-level strategy consists of proximal policy optimization, while the low-level heuristics consist of ten predefined heuristic operators. During the iteration process, the high-level strategy selects the most promising low-level heuristic according to the state of the individuals and the population. To maintain the convergence and distribution of the external Pareto archive, a dynamic crowding distance mechanism is employed. HHEA-PPO is applied to eight multi-objective truss optimization problems and compared with thirteen state-of-the-art optimization algorithms in terms of success rate, average computation duration, and average fitness evaluations to evaluate its performance. The results show that HHEA-PPO has higher search efficiency and greater stability, demonstrating its ability to solve large-scale engineering design problems.
AbstractList This paper proposes a hyper-heuristic evolutionary algorithm via proximal policy optimization, named HHEA-PPO, for solving multi-objective truss optimization problems. HHEA-PPO has a two-layer structure: a high-level strategy and low-level heuristics. The high-level strategy consists of proximal policy optimization, while the low-level heuristics consist of ten predefined heuristic operators. During the iteration process, the high-level strategy selects the most promising low-level heuristic according to the state of the individuals and the population. To maintain the convergence and distribution of the external Pareto archive, a dynamic crowding distance mechanism is employed. HHEA-PPO is applied to eight multi-objective truss optimization problems and compared with thirteen state-of-the-art optimization algorithms in terms of success rate, average computation duration, and average fitness evaluations to evaluate its performance. The results show that HHEA-PPO has higher search efficiency and greater stability, demonstrating its ability to solve large-scale engineering design problems.
ArticleNumber 124929
Author Xiang, Zhengrong
Yin, Shihong
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Cites_doi 10.1007/s10489-021-03051-5
10.1007/s12065-022-00804-0
10.1145/1276958.1277190
10.1016/j.compstruc.2012.12.010
10.1023/A:1008202821328
10.1016/j.istruc.2021.01.016
10.1016/j.swevo.2024.101530
10.1016/j.compstruc.2017.06.016
10.1016/j.compstruc.2023.107230
10.1109/TPAMI.2021.3077106
10.1016/j.engappai.2023.107594
10.1016/j.knosys.2023.110529
10.1109/TETCI.2022.3146882
10.1016/j.ins.2021.07.078
10.1109/4235.771163
10.1016/j.asoc.2024.111435
10.1016/j.asoc.2023.110016
10.1016/j.eswa.2023.123115
10.1016/j.eswa.2020.113777
10.1080/0305215X.2017.1417400
10.1016/j.neucom.2024.127943
10.1007/s11831-021-09531-8
10.1016/j.asoc.2021.108334
10.1016/j.cie.2023.109815
10.1016/j.eswa.2021.115534
10.1109/TEVC.2017.2754271
10.1016/j.knosys.2020.106556
10.1002/tal.1033
10.1007/s00366-018-0612-8
10.1109/MCI.2017.2742868
10.1080/10426914.2023.2196325
10.1109/4235.585893
10.1109/TEVC.2022.3197298
10.1016/j.eswa.2017.09.051
10.1109/TEVC.2005.851275
10.1016/j.applthermaleng.2022.118687
10.1016/j.asoc.2023.111106
10.1016/j.asoc.2021.107814
10.1016/j.autcon.2016.05.004
10.1016/j.cor.2022.105961
10.1016/j.knosys.2022.109533
10.1007/s00366-020-01010-1
10.1016/j.swevo.2019.06.010
10.1007/s00158-019-02449-7
10.1016/j.cor.2011.09.026
10.1016/j.eswa.2021.116337
10.1016/j.asoc.2020.106520
10.1016/j.swevo.2022.101196
10.1016/j.compstruc.2011.10.022
10.1016/j.neucom.2024.127491
10.1007/s42235-021-0041-z
10.1109/4235.996017
10.1016/j.eswa.2018.02.040
10.1016/j.swevo.2020.100788
10.1016/j.swevo.2022.101120
10.1016/j.asoc.2023.110573
10.1016/j.jcde.2016.02.003
10.1016/j.eswa.2023.122272
10.1007/s00366-019-00846-6
10.1016/j.cma.2022.115223
10.1109/TASE.2019.2945717
10.1016/j.compstruc.2021.106544
10.1016/j.swevo.2021.100849
10.1016/j.jare.2022.01.002
10.1016/j.eswa.2010.07.086
10.1016/j.cma.2003.12.040
10.1016/j.asoc.2010.09.003
10.1007/s00158-016-1461-y
10.1007/s00366-018-0629-z
10.1016/j.ins.2023.119547
10.1016/j.eswa.2021.115197
10.1007/s00366-020-01237-y
10.1109/TEVC.2020.3008822
10.1007/s42235-022-00307-9
10.1016/j.eswa.2019.01.068
10.1007/s00158-019-02302-x
10.1007/s00366-018-0662-y
10.1016/j.eswa.2023.121050
10.1007/s00158-023-03568-y
10.1007/s00158-019-02468-4
10.1007/s10462-022-10370-7
10.1016/j.compstruc.2022.106760
10.1016/j.knosys.2022.108422
10.1016/j.asoc.2023.110815
10.1109/ICNN.1995.488968
10.1016/j.compstruc.2020.106353
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Keywords Hyper-heuristic algorithm
Proximal policy optimization
Multi-objective optimization
Dynamic crowding distance
Truss optimization
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References Kumar, Jangir, Tejani, Premkumar (b0175) 2022; 242
Lemonge, Carvalho, Hallak, Vargas, E. c. (b0210) 2021; 165
Zhang, Wu, Qian, Hu, Wang, Jin (b0450) 2023; 234
Kennedy, J., & Eberhart, R. (1995). Particle swarm optimization.
Yue, Suganthan, Liang, Qu, Yu, Zhu, Yan (b0435) 2021; 62
Nguyen-Van, Nguyen, Luong, Lee, Lieu (b0255) 2021; 184
Almeida, Gonçalves, Venske, Lüders, Delgado (b0010) 2020; 95
Kaveh, Khayatazad (b0155) 2013; 117
David, Mareš, Chakraborti (b0045) 2023; 38
Ozkaya, Duman, Kahraman, Guvenc (b0260) 2024; 238
Yang, Deb (b0400) 2013; 40
Cao, Lin, Zhou (b0025) 2021; 18
Zhang, Tang, Chica, Li (b0445) 2023; 1–14
Pham, Tran (b0290) 2022; 191
,
Dokeroglu, Kucukyilmaz, Talbi (b0070) 2024; 187
.
Tian, Cheng, Zhang, Jin (b0360) 2017; 12
Kingma, D. P., & Ba, J. (2017).
Sun, Li (b0330) 2020; Vol. 12270
Ho-Huu, Vo-Duy, Luu-Van, Le-Anh, Nguyen-Thoi (b0125) 2016; 68
Anosri, Panagant, Bureerat, Pholdee (b0015) 2022; 253
Yin, Luo, Zhou (b0415) 2023; 20
Escalante, Yao, Tu, Pillay, Qu, Yu, Houlsby (b0085) 2021; 43
Gomes (b0105) 2011; 38
Schulman, J., Wolski, F., Dhariwal, P., Radford, A., & Klimov, O. (2017).
Gandomi, Talatahari, Yang, Deb (b0095) 2013; 22
Wu, Heidari, Zhang, Kuang, Chen (b0390) 2023; 56
Degertekin (b0065) 2012; 92–93
Panagant, Bureerat, Tai (b0280) 2019; 60
1889–1897. https://proceedings.mlr.press/v37/schulman15.html.
Yılmaz, Cengiz, Kahraman (b0425) 2024; 245
Tejani, Pholdee, Bureerat, Prayogo, Gandomi (b0345) 2019; 125
Zhang, Tian, Jiang, Zhang, Jin (b0440) 2023; 648
Luo, Yin, Zhou, Meng, Zhao, Zhou (b0250) 2023; 66
Kahraman, Akbel, Duman, Kati, Sayan (b0145) 2022; 75
Deb (b0050) 2011
Panagant, Bureerat (b0275) 2018; 50
Tian, Li, Ma, Zhang, Tan, Jin (b0365) 2023; 7
Fujimoto, S., Hoof , H., & Meger, D. ( 2018 ). Addressing function approximation error in actor-critic methods . Proceedings of the 35th International Conference on Machine Learning, 1587–1596.
Yin, Xiang (b0420) 2024; 581
Lin, Lin, Zhu, Gong, Li, Coello (b0235) 2021; 25
Yao, Liu, Lin (b0405) 1999; 3
(arXiv:1509.02971). arXiv.
Jiang, Wang, Bai (b0135) 2021; 18
Kaveh, Hamedani, Kamalinejad (b0150) 2022; 264
Lieu, Do, Lee (b0230) 2018; 195
Panagant, Pholdee, Bureerat, Yildiz, Mirjalili (b0285) 2021; 28
Kahraman, Akbel, Duman (b0140) 2022; 116
Gürgen, Kahraman, Aras, Altın (b0110) 2022; 213
Zhong, Li, Meng, Li, He (b0465) 2023; 134
Liang, Qiao, Yue, Yu, Qu, Xu, Li, Hu (b0225) 2021; 60
Tejani, Savsani, Bureerat, Patel, Savsani (b0350) 2019; 35
While, Hingston, Barone, Huband (b0380) 2006; 10
Liu, Xia (b0240) 2022; 73
Tejani, Savsani, Patel (b0355) 2016; 3
Carvalho, Carvalho, Vargas, Hallak, Lima, Lemonge (b0035) 2021; 252
Sonmez (b0320) 2011; 11
Vo, Tang, Lee (b0375) 2024; 155
Gholizadeh, Poorhoseini (b0100) 2016; 54
Lamberti, Pappalettere (b0205) 2004; 193
Khodadadi, Mirjalili (b0165) 2022; 52
1187–1194. https://doi.org/10.1145/1276958.1277190.
Liu, Ishibuchi, Yen, Nojima, Masuyama (b0245) 2019; 1–1
Zhao, Liu, Zhu, Xu, Jonrinaldi (b0455) 2023; 147
Renkavieski, Parpinelli (b0305) 2021; 182
Yue, Qu, Liang (b0430) 2018; 22
Pierezan, dos Santos Coelho, Cocco Mariani, de Vasconcelos, Segundo, Prayogo (b0295) 2021; 242
Carvalho, Carvalho, Bernardino, Lemonge, Hallak, Vargas (b0030) 2024; 17
Deb, Pratap, Agarwal, Meyarivan (b0055) 2002; 6
Fairclough, Gilbert (b0090) 2020; 61
Li, Shi, Yue, Shang, Qu (b0220) 2019; 49
Techasen, Wansasueb, Panagant, Pholdee, Bureerat (b0335) 2019; 35
Zhao, Zhang, Mirjalili, Wang, Khodadadi, Mirjalili (b0460) 2022; 398
Duman, Akbel, Kahraman (b0075) 2021; 112
Venske, Almeida, Lüders, Delgado (b0370) 2022; 148
Schulman, J., Levine, S., Abbeel, P., Jordan, M., & Moritz, P. (2015). Trust region policy optimization.
Storn, Price (b0325) 1997; 11
Kumar, Tejani, Pholdee, Bureerat, Mehta (b0195) 2021; 212
Ozkaya, Kahraman, Duman, Guvenc, Akbel (b0265) 2024; 151
Ho-Huu, Hartjes, Visser, Curran (b0120) 2018; 92
Kumar, Tejani, Mirjalili (b0185) 2019; 35
Ahmed, Babu (b0005) 2024; 15
Poulsen, Olesen, Baandrup (b0300) 2020; 62
Eid, Garcia-Hernandez, Abraham (b0080) 2022; 38
Li, Li, Shi, Zhao, Zhang, Wang (b0215) 2024; 87
Yi, Qu, Jiao, Niu (b0410) 2023; 27
Xu, Shi, Yin, Xiang (b0395) 2024; 596
(arXiv:1412.6980). arXiv. https://doi.org/10.48550/arXiv.1412.6980.
Lillicrap, T. P., Hunt, J. J., Pritzel, A., Heess, N., Erez, T., Tassa, Y., Silver, D., & Wierstra, D. (2019).
(arXiv:1707.06347). arXiv. https://doi.org/10.48550/arXiv.1707.06347.
Deb, K., Sindhya, K., & Okabe, T. (2007). Self-adaptive simulated binary crossover for real-parameter optimization.
Öztürk, Kahraman (b0270) 2023; 145
Wolpert, Macready (b0385) 1997; 1
Carvalho, Vargas, Jacob, Lima, Hallak, Lemonge (b0040) 2024; 292
1942–1948. https://doi.org/10.1109/ICNN.1995.488968.
Kumar, Panagant, Tejani, Pholdee, Bureerat, Mashru, Patel (b0180) 2023; 270
Kupwiwat, Hayashi, Ohsaki (b0200) 2024; 129
Jawad, Ozturk, Dansheng, Mahmood, Al-Azzawi, Al-Jemely (b0130) 2021; 30
Kumar, Tejani, Pholdee, Bureerat (b0190) 2021; 37
Zou, Sun, Yang, Zheng (b0470) 2021; 579
Azizi, Aickelin, Khorshidi, Shishehgarkhaneh (b0020) 2022; 41
Ho-Huu, Duong-Gia, Vo-Duy, Le-Duc, Nguyen-Thoi (b0115) 2018; 102
Tejani, Kumar, Gandomi (b0340) 2021; 37
Escalante (10.1016/j.eswa.2024.124929_b0085) 2021; 43
Pierezan (10.1016/j.eswa.2024.124929_b0295) 2021; 242
Ozkaya (10.1016/j.eswa.2024.124929_b0265) 2024; 151
Sonmez (10.1016/j.eswa.2024.124929_b0320) 2011; 11
Tejani (10.1016/j.eswa.2024.124929_b0350) 2019; 35
Ahmed (10.1016/j.eswa.2024.124929_b0005) 2024; 15
Li (10.1016/j.eswa.2024.124929_b0220) 2019; 49
Khodadadi (10.1016/j.eswa.2024.124929_b0165) 2022; 52
Liang (10.1016/j.eswa.2024.124929_b0225) 2021; 60
Sun (10.1016/j.eswa.2024.124929_b0330) 2020; Vol. 12270
Yin (10.1016/j.eswa.2024.124929_b0415) 2023; 20
Zou (10.1016/j.eswa.2024.124929_b0470) 2021; 579
Xu (10.1016/j.eswa.2024.124929_b0395) 2024; 596
Gürgen (10.1016/j.eswa.2024.124929_b0110) 2022; 213
10.1016/j.eswa.2024.124929_b0170
Kumar (10.1016/j.eswa.2024.124929_b0175) 2022; 242
10.1016/j.eswa.2024.124929_bib471
Kumar (10.1016/j.eswa.2024.124929_b0190) 2021; 37
10.1016/j.eswa.2024.124929_bib472
Carvalho (10.1016/j.eswa.2024.124929_b0035) 2021; 252
Azizi (10.1016/j.eswa.2024.124929_b0020) 2022; 41
Lin (10.1016/j.eswa.2024.124929_b0235) 2021; 25
David (10.1016/j.eswa.2024.124929_b0045) 2023; 38
Kahraman (10.1016/j.eswa.2024.124929_b0145) 2022; 75
Storn (10.1016/j.eswa.2024.124929_b0325) 1997; 11
Ho-Huu (10.1016/j.eswa.2024.124929_b0115) 2018; 102
Kupwiwat (10.1016/j.eswa.2024.124929_b0200) 2024; 129
Gomes (10.1016/j.eswa.2024.124929_b0105) 2011; 38
Eid (10.1016/j.eswa.2024.124929_b0080) 2022; 38
Kaveh (10.1016/j.eswa.2024.124929_b0155) 2013; 117
Anosri (10.1016/j.eswa.2024.124929_b0015) 2022; 253
Pham (10.1016/j.eswa.2024.124929_b0290) 2022; 191
Techasen (10.1016/j.eswa.2024.124929_b0335) 2019; 35
Tejani (10.1016/j.eswa.2024.124929_b0355) 2016; 3
Zhao (10.1016/j.eswa.2024.124929_b0455) 2023; 147
Lamberti (10.1016/j.eswa.2024.124929_b0205) 2004; 193
Carvalho (10.1016/j.eswa.2024.124929_b0040) 2024; 292
Jiang (10.1016/j.eswa.2024.124929_b0135) 2021; 18
10.1016/j.eswa.2024.124929_b0060
Poulsen (10.1016/j.eswa.2024.124929_b0300) 2020; 62
Panagant (10.1016/j.eswa.2024.124929_b0275) 2018; 50
Tejani (10.1016/j.eswa.2024.124929_b0340) 2021; 37
Zhao (10.1016/j.eswa.2024.124929_b0460) 2022; 398
Almeida (10.1016/j.eswa.2024.124929_b0010) 2020; 95
Fairclough (10.1016/j.eswa.2024.124929_b0090) 2020; 61
Zhang (10.1016/j.eswa.2024.124929_b0450) 2023; 234
Kaveh (10.1016/j.eswa.2024.124929_b0150) 2022; 264
Gandomi (10.1016/j.eswa.2024.124929_b0095) 2013; 22
Renkavieski (10.1016/j.eswa.2024.124929_b0305) 2021; 182
Yılmaz (10.1016/j.eswa.2024.124929_b0425) 2024; 245
Yue (10.1016/j.eswa.2024.124929_b0435) 2021; 62
Yang (10.1016/j.eswa.2024.124929_b0400) 2013; 40
Yin (10.1016/j.eswa.2024.124929_b0420) 2024; 581
Wu (10.1016/j.eswa.2024.124929_b0390) 2023; 56
Liu (10.1016/j.eswa.2024.124929_b0240) 2022; 73
Lemonge (10.1016/j.eswa.2024.124929_b0210) 2021; 165
Ho-Huu (10.1016/j.eswa.2024.124929_b0120) 2018; 92
10.1016/j.eswa.2024.124929_b0310
While (10.1016/j.eswa.2024.124929_b0380) 2006; 10
10.1016/j.eswa.2024.124929_b0315
Li (10.1016/j.eswa.2024.124929_b0215) 2024; 87
Panagant (10.1016/j.eswa.2024.124929_b0280) 2019; 60
Ho-Huu (10.1016/j.eswa.2024.124929_b0125) 2016; 68
Tejani (10.1016/j.eswa.2024.124929_b0345) 2019; 125
Zhong (10.1016/j.eswa.2024.124929_b0465) 2023; 134
Tian (10.1016/j.eswa.2024.124929_b0360) 2017; 12
Liu (10.1016/j.eswa.2024.124929_b0245) 2019; 1–1
Ozkaya (10.1016/j.eswa.2024.124929_b0260) 2024; 238
Wolpert (10.1016/j.eswa.2024.124929_b0385) 1997; 1
Dokeroglu (10.1016/j.eswa.2024.124929_b0070) 2024; 187
Duman (10.1016/j.eswa.2024.124929_b0075) 2021; 112
Jawad (10.1016/j.eswa.2024.124929_b0130) 2021; 30
Venske (10.1016/j.eswa.2024.124929_b0370) 2022; 148
Degertekin (10.1016/j.eswa.2024.124929_b0065) 2012; 92–93
Kumar (10.1016/j.eswa.2024.124929_b0180) 2023; 270
Zhang (10.1016/j.eswa.2024.124929_b0445) 2023; 1–14
Öztürk (10.1016/j.eswa.2024.124929_b0270) 2023; 145
Deb (10.1016/j.eswa.2024.124929_b0050) 2011
Deb (10.1016/j.eswa.2024.124929_b0055) 2002; 6
Zhang (10.1016/j.eswa.2024.124929_b0440) 2023; 648
10.1016/j.eswa.2024.124929_b0160
Yue (10.1016/j.eswa.2024.124929_b0430) 2018; 22
Gholizadeh (10.1016/j.eswa.2024.124929_b0100) 2016; 54
Tian (10.1016/j.eswa.2024.124929_b0365) 2023; 7
Kahraman (10.1016/j.eswa.2024.124929_b0140) 2022; 116
Cao (10.1016/j.eswa.2024.124929_b0025) 2021; 18
Kumar (10.1016/j.eswa.2024.124929_b0195) 2021; 212
Vo (10.1016/j.eswa.2024.124929_b0375) 2024; 155
Kumar (10.1016/j.eswa.2024.124929_b0185) 2019; 35
Panagant (10.1016/j.eswa.2024.124929_b0285) 2021; 28
Carvalho (10.1016/j.eswa.2024.124929_b0030) 2024; 17
Luo (10.1016/j.eswa.2024.124929_b0250) 2023; 66
Nguyen-Van (10.1016/j.eswa.2024.124929_b0255) 2021; 184
Yi (10.1016/j.eswa.2024.124929_b0410) 2023; 27
Yao (10.1016/j.eswa.2024.124929_b0405) 1999; 3
Lieu (10.1016/j.eswa.2024.124929_b0230) 2018; 195
References_xml – volume: 117
  start-page: 82
  year: 2013
  end-page: 94
  ident: b0155
  article-title: Ray optimization for size and shape optimization of truss structures
  publication-title: Computers & Structures
– volume: 37
  start-page: 641
  year: 2021
  end-page: 662
  ident: b0340
  article-title: Multi-objective heat transfer search algorithm for truss optimization
  publication-title: Engineering with Computers
– reference: , 1942–1948. https://doi.org/10.1109/ICNN.1995.488968.
– reference: Lillicrap, T. P., Hunt, J. J., Pritzel, A., Heess, N., Erez, T., Tassa, Y., Silver, D., & Wierstra, D. (2019).
– volume: 37
  start-page: 3439
  year: 2021
  end-page: 3454
  ident: b0190
  article-title: Multi-objective modified heat transfer search for truss optimization
  publication-title: Engineering with Computers
– reference: Fujimoto, S., Hoof , H., & Meger, D. ( 2018 ). Addressing function approximation error in actor-critic methods . Proceedings of the 35th International Conference on Machine Learning, 1587–1596.
– volume: 50
  start-page: 1645
  year: 2018
  end-page: 1661
  ident: b0275
  article-title: Truss topology, shape and sizing optimization by fully stressed design based on hybrid grey wolf optimization and adaptive differential evolution
  publication-title: Engineering Optimization
– volume: 12
  start-page: 73
  year: 2017
  end-page: 87
  ident: b0360
  article-title: PlatEMO: A MATLAB platform for evolutionary multi-objective optimization [Educational Forum]
  publication-title: IEEE Computational Intelligence Magazine
– volume: 155
  year: 2024
  ident: b0375
  article-title: A multi-objective grey wolf-cuckoo search algorithm applied to spatial truss design optimization
  publication-title: Applied Soft Computing
– reference: Kingma, D. P., & Ba, J. (2017).
– reference: (arXiv:1412.6980). arXiv. https://doi.org/10.48550/arXiv.1412.6980.
– volume: 27
  start-page: 1072
  year: 2023
  end-page: 1084
  ident: b0410
  article-title: Automated design of metaheuristics using reinforcement learning within a novel general search framework
  publication-title: IEEE Transactions on Evolutionary Computation
– volume: 102
  start-page: 262
  year: 2018
  end-page: 272
  ident: b0115
  article-title: An efficient combination of multi-objective evolutionary optimization and reliability analysis for reliability-based design optimization of truss structures
  publication-title: Expert Systems with Applications
– reference: (arXiv:1509.02971). arXiv.
– volume: 581
  year: 2024
  ident: b0420
  article-title: Adaptive operator selection with dueling deep Q-network for evolutionary multi-objective optimization
  publication-title: Neurocomputing
– volume: 10
  start-page: 29
  year: 2006
  end-page: 38
  ident: b0380
  article-title: A faster algorithm for calculating hypervolume
  publication-title: IEEE Transactions on Evolutionary Computation
– volume: 3
  start-page: 82
  year: 1999
  end-page: 102
  ident: b0405
  article-title: Evolutionary programming made faster
  publication-title: IEEE Transactions on Evolutionary Computation
– volume: 129
  year: 2024
  ident: b0200
  article-title: Multi-objective optimization of truss structure using multi-agent reinforcement learning and graph representation
  publication-title: Engineering Applications of Artificial Intelligence
– volume: 38
  start-page: 957
  year: 2011
  end-page: 968
  ident: b0105
  article-title: Truss optimization with dynamic constraints using a particle swarm algorithm
  publication-title: Expert Systems with Applications
– volume: 35
  start-page: 721
  year: 2019
  end-page: 740
  ident: b0335
  article-title: Simultaneous topology, shape, and size optimization of trusses, taking account of uncertainties using multi-objective evolutionary algorithms
  publication-title: Engineering with Computers
– reference: Schulman, J., Wolski, F., Dhariwal, P., Radford, A., & Klimov, O. (2017).
– volume: 62
  year: 2021
  ident: b0435
  article-title: Differential evolution using improved crowding distance for multimodal multiobjective optimization
  publication-title: Swarm and Evolutionary Computation
– volume: 61
  start-page: 1977
  year: 2020
  end-page: 1999
  ident: b0090
  article-title: Layout optimization of simplified trusses using mixed integer linear programming with runtime generation of constraints
  publication-title: Structural and Multidisciplinary Optimization
– volume: 579
  start-page: 89
  year: 2021
  end-page: 102
  ident: b0470
  article-title: A dual-population algorithm based on alternative evolution and degeneration for solving constrained multi-objective optimization problems
  publication-title: Information Sciences
– volume: 238
  year: 2024
  ident: b0260
  article-title: Optimal solution of the combined heat and power economic dispatch problem by adaptive fitness-distance balance based artificial rabbits optimization algorithm
  publication-title: Expert Systems with Applications
– volume: 187
  year: 2024
  ident: b0070
  article-title: Hyper-heuristics: A survey and taxonomy
  publication-title: Computers & Industrial Engineering
– reference: ,
– volume: Vol. 12270
  start-page: 271
  year: 2020
  end-page: 284
  ident: b0330
  article-title: Adaptive operator selection based on dynamic Thompson sampling for MOEA/D
  publication-title: Parallel Problem Solving from Nature – PPSN XVI
– reference: , 1187–1194. https://doi.org/10.1145/1276958.1277190.
– volume: 252
  year: 2021
  ident: b0035
  article-title: Multi-objective optimum design of truss structures using differential evolution algorithms
  publication-title: Computers & Structures
– volume: 184
  year: 2021
  ident: b0255
  article-title: A novel hybrid differential evolution and symbiotic organisms search algorithm for size and shape optimization of truss structures under multiple frequency constraints
  publication-title: Expert Systems with Applications
– volume: 6
  start-page: 182
  year: 2002
  end-page: 197
  ident: b0055
  article-title: A fast and elitist multiobjective genetic algorithm: NSGA-II
  publication-title: IEEE Transactions on Evolutionary Computation
– volume: 151
  year: 2024
  ident: b0265
  article-title: Combined heat and power economic emission dispatch using dynamic switched crowding based multi-objective symbiotic organism search algorithm
  publication-title: Applied Soft Computing
– volume: 648
  year: 2023
  ident: b0440
  article-title: Design and analysis of helper-problem-assisted evolutionary algorithm for constrained multiobjective optimization
  publication-title: Information Sciences
– volume: 95
  year: 2020
  ident: b0010
  article-title: Hyper-heuristics using multi-armed bandit models for multi-objective optimization
  publication-title: Applied Soft Computing
– volume: 54
  start-page: 1011
  year: 2016
  end-page: 1029
  ident: b0100
  article-title: Seismic layout optimization of steel braced frames by an improved dolphin echolocation algorithm
  publication-title: Structural and Multidisciplinary Optimization
– volume: 17
  start-page: 653
  year: 2024
  end-page: 678
  ident: b0030
  article-title: Solving multi-objective truss structural optimization problems considering natural frequencies of vibration and automatic member grouping
  publication-title: Evolutionary Intelligence
– volume: 22
  start-page: 805
  year: 2018
  end-page: 817
  ident: b0430
  article-title: A multiobjective particle swarm optimizer using ring topology for solving multimodal multiobjective problems
  publication-title: IEEE Transactions on Evolutionary Computation
– volume: 125
  start-page: 425
  year: 2019
  end-page: 441
  ident: b0345
  article-title: Structural optimization using multi-objective modified adaptive symbiotic organisms search
  publication-title: Expert Systems with Applications
– reference: Deb, K., Sindhya, K., & Okabe, T. (2007). Self-adaptive simulated binary crossover for real-parameter optimization.
– reference: Kennedy, J., & Eberhart, R. (1995). Particle swarm optimization.
– volume: 28
  start-page: 4031
  year: 2021
  end-page: 4047
  ident: b0285
  article-title: A comparative study of recent multi-objective metaheuristics for solving constrained truss optimisation problems
  publication-title: Archives of Computational Methods in Engineering
– reference: Schulman, J., Levine, S., Abbeel, P., Jordan, M., & Moritz, P. (2015). Trust region policy optimization.
– start-page: 3
  year: 2011
  end-page: 34
  ident: b0050
  article-title: Multi-objective optimisation using evolutionary algorithms: An introduction
  publication-title: Multi-objective Evolutionary Optimisation for Product Design and Manufacturing
– volume: 596
  year: 2024
  ident: b0395
  article-title: A hyper-heuristic with deep Q-network for the multi-objective unmanned surface vehicles scheduling problem
  publication-title: Neurocomputing
– volume: 148
  year: 2022
  ident: b0370
  article-title: Selection hyper-heuristics for the multi and many-objective quadratic assignment problem
  publication-title: Computers & Operations Research
– volume: 20
  start-page: 1333
  year: 2023
  end-page: 1360
  ident: b0415
  article-title: IBMSMA: An indicator-based multi-swarm slime mould algorithm for multi-objective truss optimization problems
  publication-title: Journal of Bionic Engineering
– volume: 62
  start-page: 41
  year: 2020
  end-page: 54
  ident: b0300
  article-title: Truss optimization applying finite element limit analysis including global and local stability
  publication-title: Structural and Multidisciplinary Optimization
– volume: 264
  year: 2022
  ident: b0150
  article-title: Improved slime mould algorithm with elitist strategy and its application to structural optimization with natural frequency constraints
  publication-title: Computers & Structures
– volume: 11
  start-page: 2406
  year: 2011
  end-page: 2418
  ident: b0320
  article-title: Artificial bee colony algorithm for optimization of truss structures
  publication-title: Applied Soft Computing
– volume: 60
  year: 2021
  ident: b0225
  article-title: A clustering-based differential evolution algorithm for solving multimodal multi-objective optimization problems
  publication-title: Swarm and Evolutionary Computation
– volume: 43
  start-page: 2887
  year: 2021
  end-page: 2890
  ident: b0085
  article-title: Guest editorial: Automated machine learning
  publication-title: IEEE Transactions on Pattern Analysis and Machine Intelligence
– volume: 92
  start-page: 430
  year: 2018
  end-page: 446
  ident: b0120
  article-title: An improved MOEA/D algorithm for bi-objective optimization problems with complex Pareto fronts and its application to structural optimization
  publication-title: Expert Systems with Applications
– reference: , 1889–1897. https://proceedings.mlr.press/v37/schulman15.html.
– reference: (arXiv:1707.06347). arXiv. https://doi.org/10.48550/arXiv.1707.06347.
– volume: 182
  year: 2021
  ident: b0305
  article-title: Meta-heuristic algorithms to truss optimization: Literature mapping and application
  publication-title: Expert Systems with Applications
– volume: 92–93
  start-page: 229
  year: 2012
  end-page: 241
  ident: b0065
  article-title: Improved harmony search algorithms for sizing optimization of truss structures
  publication-title: Computers & Structures
– volume: 212
  year: 2021
  ident: b0195
  article-title: Hybrid heat transfer search and passing vehicle search optimizer for multi-objective structural optimization
  publication-title: Knowledge-Based Systems
– volume: 66
  start-page: 114
  year: 2023
  ident: b0250
  article-title: Multi-objective equilibrium optimizer slime mould algorithm and its application in solving engineering problems
  publication-title: Structural and Multidisciplinary Optimization
– volume: 242
  year: 2022
  ident: b0175
  article-title: MOTEO: A novel physics-based multiobjective thermal exchange optimization algorithm to design truss structures
  publication-title: Knowledge-Based Systems
– volume: 253
  year: 2022
  ident: b0015
  article-title: Success history based adaptive multi-objective differential evolution variants with an interval scheme for solving simultaneous topology, shape and sizing truss reliability optimisation
  publication-title: Knowledge-Based Systems
– volume: 35
  start-page: 1269
  year: 2019
  end-page: 1296
  ident: b0185
  article-title: Modified symbiotic organisms search for structural optimization
  publication-title: Engineering with Computers
– volume: 15
  start-page: 314
  year: 2024
  end-page: 323
  ident: b0005
  article-title: Hyper-heuristic multi-objective online optimization for cyber security in big data
  publication-title: International Journal of System Assurance Engineering and Management
– volume: 40
  start-page: 1616
  year: 2013
  end-page: 1624
  ident: b0400
  article-title: Multiobjective cuckoo search for design optimization
  publication-title: Computers & Operations Research
– volume: 73
  year: 2022
  ident: b0240
  article-title: A hybrid intelligent genetic algorithm for truss optimization based on deep neutral network
  publication-title: Swarm and Evolutionary Computation
– volume: 242
  year: 2021
  ident: b0295
  article-title: Chaotic coyote algorithm applied to truss optimization problems
  publication-title: Computers & Structures
– volume: 1–14
  year: 2023
  ident: b0445
  article-title: Reinforcement learning-based multiobjective evolutionary algorithm for mixed-model multimanned assembly line balancing under uncertain demand
  publication-title: IEEE Transactions on Cybernetics
– volume: 52
  start-page: 10384
  year: 2022
  end-page: 10397
  ident: b0165
  article-title: Truss optimization with natural frequency constraints using generalized normal distribution optimization
  publication-title: Applied Intelligence
– volume: 193
  start-page: 3493
  year: 2004
  end-page: 3521
  ident: b0205
  article-title: Improved sequential linear programming formulation for structural weight minimization
  publication-title: Computer Methods in Applied Mechanics and Engineering
– volume: 292
  year: 2024
  ident: b0040
  article-title: Multi-objective structural optimization for the automatic member grouping of truss structures using evolutionary algorithms
  publication-title: Computers & Structures
– volume: 134
  year: 2023
  ident: b0465
  article-title: Multi-objective SHADE with manta ray foraging optimizer for structural design problems
  publication-title: Applied Soft Computing
– volume: 398
  year: 2022
  ident: b0460
  article-title: An effective multi-objective artificial hummingbird algorithm with dynamic elimination-based crowding distance for solving engineering design problems
  publication-title: Computer Methods in Applied Mechanics and Engineering
– volume: 165
  year: 2021
  ident: b0210
  article-title: Multi-objective truss structural optimization considering natural frequencies of vibration and global stability
  publication-title: Expert Systems with Applications
– volume: 234
  year: 2023
  ident: b0450
  article-title: A Q-learning-based hyper-heuristic evolutionary algorithm for the distributed flexible job-shop scheduling problem with crane transportation
  publication-title: Expert Systems with Applications
– volume: 49
  start-page: 234
  year: 2019
  end-page: 244
  ident: b0220
  article-title: Differential evolution based on reinforcement learning with fitness ranking for solving multimodal multiobjective problems
  publication-title: Swarm and Evolutionary Computation
– volume: 213
  year: 2022
  ident: b0110
  article-title: A comprehensive performance analysis of meta-heuristic optimization techniques for effective organic rankine cycle design
  publication-title: Applied Thermal Engineering
– volume: 270
  year: 2023
  ident: b0180
  article-title: A two-archive multi-objective multi-verse optimizer for truss design
  publication-title: Knowledge-Based Systems
– volume: 245
  year: 2024
  ident: b0425
  article-title: A new evolutionary optimization algorithm with hybrid guidance mechanism for truck-multi drone delivery system
  publication-title: Expert Systems with Applications
– volume: 22
  start-page: 1330
  year: 2013
  end-page: 1349
  ident: b0095
  article-title: Design optimization of truss structures using cuckoo search algorithm
  publication-title: The Structural Design of Tall and Special Buildings
– volume: 147
  year: 2023
  ident: b0455
  article-title: A selection hyper-heuristic algorithm with Q-learning mechanism
  publication-title: Applied Soft Computing
– volume: 56
  start-page: 9051
  year: 2023
  end-page: 9087
  ident: b0390
  article-title: Gaussian bare-bone slime mould algorithm: Performance optimization and case studies on truss structures
  publication-title: Artificial Intelligence Review
– volume: 25
  start-page: 130
  year: 2021
  end-page: 144
  ident: b0235
  article-title: Multimodal multiobjective evolutionary optimization with dual clustering in decision and objective spaces
  publication-title: IEEE Transactions on Evolutionary Computation
– volume: 7
  start-page: 1051
  year: 2023
  end-page: 1064
  ident: b0365
  article-title: Deep reinforcement learning based adaptive operator selection for evolutionary multi-objective optimization
  publication-title: IEEE Transactions on Emerging Topics in Computational Intelligence
– volume: 38
  start-page: 963
  year: 2022
  end-page: 973
  ident: b0080
  article-title: Spiral water cycle algorithm for solving multi-objective optimization and truss optimization problems
  publication-title: Engineering with Computers
– volume: 60
  start-page: 1937
  year: 2019
  end-page: 1955
  ident: b0280
  article-title: A novel self-adaptive hybrid multi-objective meta-heuristic for reliability design of trusses with simultaneous topology, shape and sizing optimisation design variables
  publication-title: Structural and Multidisciplinary Optimization
– volume: 18
  start-page: 721
  year: 2021
  end-page: 732
  ident: b0135
  article-title: An improved whale algorithm and its application in truss optimization
  publication-title: Journal of Bionic Engineering
– volume: 145
  year: 2023
  ident: b0270
  article-title: Meta-heuristic search algorithms in truss optimization: Research on stability and complexity analyses
  publication-title: Applied Soft Computing
– volume: 18
  start-page: 56
  year: 2021
  end-page: 69
  ident: b0025
  article-title: A knowledge-based cuckoo search algorithm to schedule a flexible job shop with sequencing flexibility
  publication-title: IEEE Transactions on Automation Science and Engineering
– volume: 1
  start-page: 67
  year: 1997
  end-page: 82
  ident: b0385
  article-title: No free lunch theorems for optimization
  publication-title: IEEE Transactions on Evolutionary Computation
– volume: 68
  start-page: 81
  year: 2016
  end-page: 94
  ident: b0125
  article-title: Optimal design of truss structures with frequency constraints using improved differential evolution algorithm based on an adaptive mutation scheme
  publication-title: Automation in Construction
– volume: 195
  start-page: 99
  year: 2018
  end-page: 112
  ident: b0230
  article-title: An adaptive hybrid evolutionary firefly algorithm for shape and size optimization of truss structures with frequency constraints
  publication-title: Computers & Structures
– volume: 11
  start-page: 341
  year: 1997
  end-page: 359
  ident: b0325
  article-title: Differential evolution – A simple and efficient heuristic for global optimization over continuous spaces
  publication-title: Journal of Global Optimization
– volume: 3
  start-page: 226
  year: 2016
  end-page: 249
  ident: b0355
  article-title: Adaptive symbiotic organisms search (SOS) algorithm for structural design optimization
  publication-title: Journal of Computational Design and Engineering
– volume: 35
  start-page: 499
  year: 2019
  end-page: 517
  ident: b0350
  article-title: Topology optimization of truss subjected to static and dynamic constraints by integrating simulated annealing into passing vehicle search algorithms
  publication-title: Engineering with Computers
– volume: 1–1
  year: 2019
  ident: b0245
  article-title: Handling imbalance between convergence and diversity in the decision space in evolutionary multi-modal multi-objective optimization
  publication-title: IEEE Transactions on Evolutionary Computation
– reference: .
– volume: 38
  start-page: 1922
  year: 2023
  end-page: 1931
  ident: b0045
  article-title: Evolutionary multi-objective optimization of truss topology for additively manufactured components
  publication-title: Materials and Manufacturing Processes
– volume: 30
  start-page: 546
  year: 2021
  end-page: 559
  ident: b0130
  article-title: Sizing and layout optimization of truss structures with artificial bee colony algorithm
  publication-title: Structures
– volume: 75
  year: 2022
  ident: b0145
  article-title: Unified space approach-based dynamic switched crowding (DSC): A new method for designing Pareto-based multi/many-objective algorithms
  publication-title: Swarm and Evolutionary Computation
– volume: 112
  year: 2021
  ident: b0075
  article-title: Development of the multi-objective adaptive guided differential evolution and optimization of the MO-ACOPF for wind/PV/tidal energy sources
  publication-title: Applied Soft Computing
– volume: 116
  year: 2022
  ident: b0140
  article-title: Optimization of optimal power flow problem using multi-objective manta ray foraging optimizer
  publication-title: Applied Soft Computing
– volume: 191
  year: 2022
  ident: b0290
  article-title: Optimal truss sizing by modified Rao algorithm combined with feasible boundary search method
  publication-title: Expert Systems with Applications
– volume: 87
  year: 2024
  ident: b0215
  article-title: A compass-based hyper-heuristic for multi-objective optimization problems
  publication-title: Swarm and Evolutionary Computation
– volume: 41
  start-page: 89
  year: 2022
  end-page: 100
  ident: b0020
  article-title: Shape and size optimization of truss structures by Chaos game optimization considering frequency constraints
  publication-title: Journal of Advanced Research
– volume: 52
  start-page: 10384
  issue: 9
  year: 2022
  ident: 10.1016/j.eswa.2024.124929_b0165
  article-title: Truss optimization with natural frequency constraints using generalized normal distribution optimization
  publication-title: Applied Intelligence
  doi: 10.1007/s10489-021-03051-5
– volume: 17
  start-page: 653
  issue: 2
  year: 2024
  ident: 10.1016/j.eswa.2024.124929_b0030
  article-title: Solving multi-objective truss structural optimization problems considering natural frequencies of vibration and automatic member grouping
  publication-title: Evolutionary Intelligence
  doi: 10.1007/s12065-022-00804-0
– ident: 10.1016/j.eswa.2024.124929_b0060
  doi: 10.1145/1276958.1277190
– volume: 117
  start-page: 82
  year: 2013
  ident: 10.1016/j.eswa.2024.124929_b0155
  article-title: Ray optimization for size and shape optimization of truss structures
  publication-title: Computers & Structures
  doi: 10.1016/j.compstruc.2012.12.010
– volume: 11
  start-page: 341
  year: 1997
  ident: 10.1016/j.eswa.2024.124929_b0325
  article-title: Differential evolution – A simple and efficient heuristic for global optimization over continuous spaces
  publication-title: Journal of Global Optimization
  doi: 10.1023/A:1008202821328
– volume: 30
  start-page: 546
  year: 2021
  ident: 10.1016/j.eswa.2024.124929_b0130
  article-title: Sizing and layout optimization of truss structures with artificial bee colony algorithm
  publication-title: Structures
  doi: 10.1016/j.istruc.2021.01.016
– volume: 87
  year: 2024
  ident: 10.1016/j.eswa.2024.124929_b0215
  article-title: A compass-based hyper-heuristic for multi-objective optimization problems
  publication-title: Swarm and Evolutionary Computation
  doi: 10.1016/j.swevo.2024.101530
– volume: 195
  start-page: 99
  year: 2018
  ident: 10.1016/j.eswa.2024.124929_b0230
  article-title: An adaptive hybrid evolutionary firefly algorithm for shape and size optimization of truss structures with frequency constraints
  publication-title: Computers & Structures
  doi: 10.1016/j.compstruc.2017.06.016
– volume: 292
  year: 2024
  ident: 10.1016/j.eswa.2024.124929_b0040
  article-title: Multi-objective structural optimization for the automatic member grouping of truss structures using evolutionary algorithms
  publication-title: Computers & Structures
  doi: 10.1016/j.compstruc.2023.107230
– volume: 43
  start-page: 2887
  issue: 9
  year: 2021
  ident: 10.1016/j.eswa.2024.124929_b0085
  article-title: Guest editorial: Automated machine learning
  publication-title: IEEE Transactions on Pattern Analysis and Machine Intelligence
  doi: 10.1109/TPAMI.2021.3077106
– volume: 129
  year: 2024
  ident: 10.1016/j.eswa.2024.124929_b0200
  article-title: Multi-objective optimization of truss structure using multi-agent reinforcement learning and graph representation
  publication-title: Engineering Applications of Artificial Intelligence
  doi: 10.1016/j.engappai.2023.107594
– volume: 1–1
  year: 2019
  ident: 10.1016/j.eswa.2024.124929_b0245
  article-title: Handling imbalance between convergence and diversity in the decision space in evolutionary multi-modal multi-objective optimization
  publication-title: IEEE Transactions on Evolutionary Computation
– ident: 10.1016/j.eswa.2024.124929_b0170
– volume: 270
  year: 2023
  ident: 10.1016/j.eswa.2024.124929_b0180
  article-title: A two-archive multi-objective multi-verse optimizer for truss design
  publication-title: Knowledge-Based Systems
  doi: 10.1016/j.knosys.2023.110529
– volume: 7
  start-page: 1051
  issue: 4
  year: 2023
  ident: 10.1016/j.eswa.2024.124929_b0365
  article-title: Deep reinforcement learning based adaptive operator selection for evolutionary multi-objective optimization
  publication-title: IEEE Transactions on Emerging Topics in Computational Intelligence
  doi: 10.1109/TETCI.2022.3146882
– volume: 579
  start-page: 89
  year: 2021
  ident: 10.1016/j.eswa.2024.124929_b0470
  article-title: A dual-population algorithm based on alternative evolution and degeneration for solving constrained multi-objective optimization problems
  publication-title: Information Sciences
  doi: 10.1016/j.ins.2021.07.078
– start-page: 3
  year: 2011
  ident: 10.1016/j.eswa.2024.124929_b0050
  article-title: Multi-objective optimisation using evolutionary algorithms: An introduction
– volume: 3
  start-page: 82
  issue: 2
  year: 1999
  ident: 10.1016/j.eswa.2024.124929_b0405
  article-title: Evolutionary programming made faster
  publication-title: IEEE Transactions on Evolutionary Computation
  doi: 10.1109/4235.771163
– volume: 155
  year: 2024
  ident: 10.1016/j.eswa.2024.124929_b0375
  article-title: A multi-objective grey wolf-cuckoo search algorithm applied to spatial truss design optimization
  publication-title: Applied Soft Computing
  doi: 10.1016/j.asoc.2024.111435
– volume: 134
  year: 2023
  ident: 10.1016/j.eswa.2024.124929_b0465
  article-title: Multi-objective SHADE with manta ray foraging optimizer for structural design problems
  publication-title: Applied Soft Computing
  doi: 10.1016/j.asoc.2023.110016
– volume: 245
  year: 2024
  ident: 10.1016/j.eswa.2024.124929_b0425
  article-title: A new evolutionary optimization algorithm with hybrid guidance mechanism for truck-multi drone delivery system
  publication-title: Expert Systems with Applications
  doi: 10.1016/j.eswa.2023.123115
– volume: 165
  year: 2021
  ident: 10.1016/j.eswa.2024.124929_b0210
  article-title: Multi-objective truss structural optimization considering natural frequencies of vibration and global stability
  publication-title: Expert Systems with Applications
  doi: 10.1016/j.eswa.2020.113777
– volume: 50
  start-page: 1645
  issue: 10
  year: 2018
  ident: 10.1016/j.eswa.2024.124929_b0275
  article-title: Truss topology, shape and sizing optimization by fully stressed design based on hybrid grey wolf optimization and adaptive differential evolution
  publication-title: Engineering Optimization
  doi: 10.1080/0305215X.2017.1417400
– volume: 596
  year: 2024
  ident: 10.1016/j.eswa.2024.124929_b0395
  article-title: A hyper-heuristic with deep Q-network for the multi-objective unmanned surface vehicles scheduling problem
  publication-title: Neurocomputing
  doi: 10.1016/j.neucom.2024.127943
– volume: 28
  start-page: 4031
  issue: 5
  year: 2021
  ident: 10.1016/j.eswa.2024.124929_b0285
  article-title: A comparative study of recent multi-objective metaheuristics for solving constrained truss optimisation problems
  publication-title: Archives of Computational Methods in Engineering
  doi: 10.1007/s11831-021-09531-8
– volume: 116
  year: 2022
  ident: 10.1016/j.eswa.2024.124929_b0140
  article-title: Optimization of optimal power flow problem using multi-objective manta ray foraging optimizer
  publication-title: Applied Soft Computing
  doi: 10.1016/j.asoc.2021.108334
– volume: 187
  year: 2024
  ident: 10.1016/j.eswa.2024.124929_b0070
  article-title: Hyper-heuristics: A survey and taxonomy
  publication-title: Computers & Industrial Engineering
  doi: 10.1016/j.cie.2023.109815
– volume: 184
  year: 2021
  ident: 10.1016/j.eswa.2024.124929_b0255
  article-title: A novel hybrid differential evolution and symbiotic organisms search algorithm for size and shape optimization of truss structures under multiple frequency constraints
  publication-title: Expert Systems with Applications
  doi: 10.1016/j.eswa.2021.115534
– volume: 22
  start-page: 805
  issue: 5
  year: 2018
  ident: 10.1016/j.eswa.2024.124929_b0430
  article-title: A multiobjective particle swarm optimizer using ring topology for solving multimodal multiobjective problems
  publication-title: IEEE Transactions on Evolutionary Computation
  doi: 10.1109/TEVC.2017.2754271
– volume: 212
  year: 2021
  ident: 10.1016/j.eswa.2024.124929_b0195
  article-title: Hybrid heat transfer search and passing vehicle search optimizer for multi-objective structural optimization
  publication-title: Knowledge-Based Systems
  doi: 10.1016/j.knosys.2020.106556
– volume: 15
  start-page: 314
  issue: 1
  year: 2024
  ident: 10.1016/j.eswa.2024.124929_b0005
  article-title: Hyper-heuristic multi-objective online optimization for cyber security in big data
  publication-title: International Journal of System Assurance Engineering and Management
– volume: 22
  start-page: 1330
  issue: 17
  year: 2013
  ident: 10.1016/j.eswa.2024.124929_b0095
  article-title: Design optimization of truss structures using cuckoo search algorithm
  publication-title: The Structural Design of Tall and Special Buildings
  doi: 10.1002/tal.1033
– volume: 35
  start-page: 499
  issue: 2
  year: 2019
  ident: 10.1016/j.eswa.2024.124929_b0350
  article-title: Topology optimization of truss subjected to static and dynamic constraints by integrating simulated annealing into passing vehicle search algorithms
  publication-title: Engineering with Computers
  doi: 10.1007/s00366-018-0612-8
– volume: 12
  start-page: 73
  issue: 4
  year: 2017
  ident: 10.1016/j.eswa.2024.124929_b0360
  article-title: PlatEMO: A MATLAB platform for evolutionary multi-objective optimization [Educational Forum]
  publication-title: IEEE Computational Intelligence Magazine
  doi: 10.1109/MCI.2017.2742868
– volume: 38
  start-page: 1922
  issue: 15
  year: 2023
  ident: 10.1016/j.eswa.2024.124929_b0045
  article-title: Evolutionary multi-objective optimization of truss topology for additively manufactured components
  publication-title: Materials and Manufacturing Processes
  doi: 10.1080/10426914.2023.2196325
– volume: 1
  start-page: 67
  issue: 1
  year: 1997
  ident: 10.1016/j.eswa.2024.124929_b0385
  article-title: No free lunch theorems for optimization
  publication-title: IEEE Transactions on Evolutionary Computation
  doi: 10.1109/4235.585893
– volume: 27
  start-page: 1072
  issue: 4
  year: 2023
  ident: 10.1016/j.eswa.2024.124929_b0410
  article-title: Automated design of metaheuristics using reinforcement learning within a novel general search framework
  publication-title: IEEE Transactions on Evolutionary Computation
  doi: 10.1109/TEVC.2022.3197298
– ident: 10.1016/j.eswa.2024.124929_b0310
– volume: 92
  start-page: 430
  year: 2018
  ident: 10.1016/j.eswa.2024.124929_b0120
  article-title: An improved MOEA/D algorithm for bi-objective optimization problems with complex Pareto fronts and its application to structural optimization
  publication-title: Expert Systems with Applications
  doi: 10.1016/j.eswa.2017.09.051
– volume: 10
  start-page: 29
  issue: 1
  year: 2006
  ident: 10.1016/j.eswa.2024.124929_b0380
  article-title: A faster algorithm for calculating hypervolume
  publication-title: IEEE Transactions on Evolutionary Computation
  doi: 10.1109/TEVC.2005.851275
– volume: 213
  year: 2022
  ident: 10.1016/j.eswa.2024.124929_b0110
  article-title: A comprehensive performance analysis of meta-heuristic optimization techniques for effective organic rankine cycle design
  publication-title: Applied Thermal Engineering
  doi: 10.1016/j.applthermaleng.2022.118687
– volume: 151
  year: 2024
  ident: 10.1016/j.eswa.2024.124929_b0265
  article-title: Combined heat and power economic emission dispatch using dynamic switched crowding based multi-objective symbiotic organism search algorithm
  publication-title: Applied Soft Computing
  doi: 10.1016/j.asoc.2023.111106
– volume: 112
  year: 2021
  ident: 10.1016/j.eswa.2024.124929_b0075
  article-title: Development of the multi-objective adaptive guided differential evolution and optimization of the MO-ACOPF for wind/PV/tidal energy sources
  publication-title: Applied Soft Computing
  doi: 10.1016/j.asoc.2021.107814
– volume: 68
  start-page: 81
  year: 2016
  ident: 10.1016/j.eswa.2024.124929_b0125
  article-title: Optimal design of truss structures with frequency constraints using improved differential evolution algorithm based on an adaptive mutation scheme
  publication-title: Automation in Construction
  doi: 10.1016/j.autcon.2016.05.004
– volume: 148
  year: 2022
  ident: 10.1016/j.eswa.2024.124929_b0370
  article-title: Selection hyper-heuristics for the multi and many-objective quadratic assignment problem
  publication-title: Computers & Operations Research
  doi: 10.1016/j.cor.2022.105961
– volume: 253
  year: 2022
  ident: 10.1016/j.eswa.2024.124929_b0015
  article-title: Success history based adaptive multi-objective differential evolution variants with an interval scheme for solving simultaneous topology, shape and sizing truss reliability optimisation
  publication-title: Knowledge-Based Systems
  doi: 10.1016/j.knosys.2022.109533
– volume: 37
  start-page: 3439
  issue: 4
  year: 2021
  ident: 10.1016/j.eswa.2024.124929_b0190
  article-title: Multi-objective modified heat transfer search for truss optimization
  publication-title: Engineering with Computers
  doi: 10.1007/s00366-020-01010-1
– volume: 49
  start-page: 234
  year: 2019
  ident: 10.1016/j.eswa.2024.124929_b0220
  article-title: Differential evolution based on reinforcement learning with fitness ranking for solving multimodal multiobjective problems
  publication-title: Swarm and Evolutionary Computation
  doi: 10.1016/j.swevo.2019.06.010
– volume: 61
  start-page: 1977
  issue: 5
  year: 2020
  ident: 10.1016/j.eswa.2024.124929_b0090
  article-title: Layout optimization of simplified trusses using mixed integer linear programming with runtime generation of constraints
  publication-title: Structural and Multidisciplinary Optimization
  doi: 10.1007/s00158-019-02449-7
– volume: 40
  start-page: 1616
  issue: 6
  year: 2013
  ident: 10.1016/j.eswa.2024.124929_b0400
  article-title: Multiobjective cuckoo search for design optimization
  publication-title: Computers & Operations Research
  doi: 10.1016/j.cor.2011.09.026
– volume: 191
  year: 2022
  ident: 10.1016/j.eswa.2024.124929_b0290
  article-title: Optimal truss sizing by modified Rao algorithm combined with feasible boundary search method
  publication-title: Expert Systems with Applications
  doi: 10.1016/j.eswa.2021.116337
– volume: 95
  year: 2020
  ident: 10.1016/j.eswa.2024.124929_b0010
  article-title: Hyper-heuristics using multi-armed bandit models for multi-objective optimization
  publication-title: Applied Soft Computing
  doi: 10.1016/j.asoc.2020.106520
– volume: 75
  year: 2022
  ident: 10.1016/j.eswa.2024.124929_b0145
  article-title: Unified space approach-based dynamic switched crowding (DSC): A new method for designing Pareto-based multi/many-objective algorithms
  publication-title: Swarm and Evolutionary Computation
  doi: 10.1016/j.swevo.2022.101196
– volume: 92–93
  start-page: 229
  year: 2012
  ident: 10.1016/j.eswa.2024.124929_b0065
  article-title: Improved harmony search algorithms for sizing optimization of truss structures
  publication-title: Computers & Structures
  doi: 10.1016/j.compstruc.2011.10.022
– ident: 10.1016/j.eswa.2024.124929_bib472
– volume: 581
  year: 2024
  ident: 10.1016/j.eswa.2024.124929_b0420
  article-title: Adaptive operator selection with dueling deep Q-network for evolutionary multi-objective optimization
  publication-title: Neurocomputing
  doi: 10.1016/j.neucom.2024.127491
– volume: 18
  start-page: 721
  issue: 3
  year: 2021
  ident: 10.1016/j.eswa.2024.124929_b0135
  article-title: An improved whale algorithm and its application in truss optimization
  publication-title: Journal of Bionic Engineering
  doi: 10.1007/s42235-021-0041-z
– volume: 6
  start-page: 182
  issue: 2
  year: 2002
  ident: 10.1016/j.eswa.2024.124929_b0055
  article-title: A fast and elitist multiobjective genetic algorithm: NSGA-II
  publication-title: IEEE Transactions on Evolutionary Computation
  doi: 10.1109/4235.996017
– volume: 102
  start-page: 262
  year: 2018
  ident: 10.1016/j.eswa.2024.124929_b0115
  article-title: An efficient combination of multi-objective evolutionary optimization and reliability analysis for reliability-based design optimization of truss structures
  publication-title: Expert Systems with Applications
  doi: 10.1016/j.eswa.2018.02.040
– volume: 60
  year: 2021
  ident: 10.1016/j.eswa.2024.124929_b0225
  article-title: A clustering-based differential evolution algorithm for solving multimodal multi-objective optimization problems
  publication-title: Swarm and Evolutionary Computation
  doi: 10.1016/j.swevo.2020.100788
– volume: 73
  year: 2022
  ident: 10.1016/j.eswa.2024.124929_b0240
  article-title: A hybrid intelligent genetic algorithm for truss optimization based on deep neutral network
  publication-title: Swarm and Evolutionary Computation
  doi: 10.1016/j.swevo.2022.101120
– volume: 145
  year: 2023
  ident: 10.1016/j.eswa.2024.124929_b0270
  article-title: Meta-heuristic search algorithms in truss optimization: Research on stability and complexity analyses
  publication-title: Applied Soft Computing
  doi: 10.1016/j.asoc.2023.110573
– volume: 3
  start-page: 226
  issue: 3
  year: 2016
  ident: 10.1016/j.eswa.2024.124929_b0355
  article-title: Adaptive symbiotic organisms search (SOS) algorithm for structural design optimization
  publication-title: Journal of Computational Design and Engineering
  doi: 10.1016/j.jcde.2016.02.003
– volume: 238
  year: 2024
  ident: 10.1016/j.eswa.2024.124929_b0260
  article-title: Optimal solution of the combined heat and power economic dispatch problem by adaptive fitness-distance balance based artificial rabbits optimization algorithm
  publication-title: Expert Systems with Applications
  doi: 10.1016/j.eswa.2023.122272
– volume: 37
  start-page: 641
  issue: 1
  year: 2021
  ident: 10.1016/j.eswa.2024.124929_b0340
  article-title: Multi-objective heat transfer search algorithm for truss optimization
  publication-title: Engineering with Computers
  doi: 10.1007/s00366-019-00846-6
– volume: 398
  year: 2022
  ident: 10.1016/j.eswa.2024.124929_b0460
  article-title: An effective multi-objective artificial hummingbird algorithm with dynamic elimination-based crowding distance for solving engineering design problems
  publication-title: Computer Methods in Applied Mechanics and Engineering
  doi: 10.1016/j.cma.2022.115223
– volume: 18
  start-page: 56
  issue: 1
  year: 2021
  ident: 10.1016/j.eswa.2024.124929_b0025
  article-title: A knowledge-based cuckoo search algorithm to schedule a flexible job shop with sequencing flexibility
  publication-title: IEEE Transactions on Automation Science and Engineering
  doi: 10.1109/TASE.2019.2945717
– volume: 252
  year: 2021
  ident: 10.1016/j.eswa.2024.124929_b0035
  article-title: Multi-objective optimum design of truss structures using differential evolution algorithms
  publication-title: Computers & Structures
  doi: 10.1016/j.compstruc.2021.106544
– volume: 62
  year: 2021
  ident: 10.1016/j.eswa.2024.124929_b0435
  article-title: Differential evolution using improved crowding distance for multimodal multiobjective optimization
  publication-title: Swarm and Evolutionary Computation
  doi: 10.1016/j.swevo.2021.100849
– volume: 41
  start-page: 89
  year: 2022
  ident: 10.1016/j.eswa.2024.124929_b0020
  article-title: Shape and size optimization of truss structures by Chaos game optimization considering frequency constraints
  publication-title: Journal of Advanced Research
  doi: 10.1016/j.jare.2022.01.002
– volume: 38
  start-page: 957
  issue: 1
  year: 2011
  ident: 10.1016/j.eswa.2024.124929_b0105
  article-title: Truss optimization with dynamic constraints using a particle swarm algorithm
  publication-title: Expert Systems with Applications
  doi: 10.1016/j.eswa.2010.07.086
– volume: 193
  start-page: 3493
  issue: 33
  year: 2004
  ident: 10.1016/j.eswa.2024.124929_b0205
  article-title: Improved sequential linear programming formulation for structural weight minimization
  publication-title: Computer Methods in Applied Mechanics and Engineering
  doi: 10.1016/j.cma.2003.12.040
– volume: 11
  start-page: 2406
  issue: 2
  year: 2011
  ident: 10.1016/j.eswa.2024.124929_b0320
  article-title: Artificial bee colony algorithm for optimization of truss structures
  publication-title: Applied Soft Computing
  doi: 10.1016/j.asoc.2010.09.003
– volume: 54
  start-page: 1011
  issue: 4
  year: 2016
  ident: 10.1016/j.eswa.2024.124929_b0100
  article-title: Seismic layout optimization of steel braced frames by an improved dolphin echolocation algorithm
  publication-title: Structural and Multidisciplinary Optimization
  doi: 10.1007/s00158-016-1461-y
– volume: 35
  start-page: 721
  issue: 2
  year: 2019
  ident: 10.1016/j.eswa.2024.124929_b0335
  article-title: Simultaneous topology, shape, and size optimization of trusses, taking account of uncertainties using multi-objective evolutionary algorithms
  publication-title: Engineering with Computers
  doi: 10.1007/s00366-018-0629-z
– volume: 648
  year: 2023
  ident: 10.1016/j.eswa.2024.124929_b0440
  article-title: Design and analysis of helper-problem-assisted evolutionary algorithm for constrained multiobjective optimization
  publication-title: Information Sciences
  doi: 10.1016/j.ins.2023.119547
– ident: 10.1016/j.eswa.2024.124929_bib471
– volume: 182
  year: 2021
  ident: 10.1016/j.eswa.2024.124929_b0305
  article-title: Meta-heuristic algorithms to truss optimization: Literature mapping and application
  publication-title: Expert Systems with Applications
  doi: 10.1016/j.eswa.2021.115197
– volume: 38
  start-page: 963
  issue: S2
  year: 2022
  ident: 10.1016/j.eswa.2024.124929_b0080
  article-title: Spiral water cycle algorithm for solving multi-objective optimization and truss optimization problems
  publication-title: Engineering with Computers
  doi: 10.1007/s00366-020-01237-y
– volume: 25
  start-page: 130
  issue: 1
  year: 2021
  ident: 10.1016/j.eswa.2024.124929_b0235
  article-title: Multimodal multiobjective evolutionary optimization with dual clustering in decision and objective spaces
  publication-title: IEEE Transactions on Evolutionary Computation
  doi: 10.1109/TEVC.2020.3008822
– ident: 10.1016/j.eswa.2024.124929_b0315
– volume: 20
  start-page: 1333
  issue: 3
  year: 2023
  ident: 10.1016/j.eswa.2024.124929_b0415
  article-title: IBMSMA: An indicator-based multi-swarm slime mould algorithm for multi-objective truss optimization problems
  publication-title: Journal of Bionic Engineering
  doi: 10.1007/s42235-022-00307-9
– volume: 125
  start-page: 425
  year: 2019
  ident: 10.1016/j.eswa.2024.124929_b0345
  article-title: Structural optimization using multi-objective modified adaptive symbiotic organisms search
  publication-title: Expert Systems with Applications
  doi: 10.1016/j.eswa.2019.01.068
– volume: Vol. 12270
  start-page: 271
  year: 2020
  ident: 10.1016/j.eswa.2024.124929_b0330
  article-title: Adaptive operator selection based on dynamic Thompson sampling for MOEA/D
– volume: 60
  start-page: 1937
  issue: 5
  year: 2019
  ident: 10.1016/j.eswa.2024.124929_b0280
  article-title: A novel self-adaptive hybrid multi-objective meta-heuristic for reliability design of trusses with simultaneous topology, shape and sizing optimisation design variables
  publication-title: Structural and Multidisciplinary Optimization
  doi: 10.1007/s00158-019-02302-x
– volume: 35
  start-page: 1269
  issue: 4
  year: 2019
  ident: 10.1016/j.eswa.2024.124929_b0185
  article-title: Modified symbiotic organisms search for structural optimization
  publication-title: Engineering with Computers
  doi: 10.1007/s00366-018-0662-y
– volume: 234
  year: 2023
  ident: 10.1016/j.eswa.2024.124929_b0450
  article-title: A Q-learning-based hyper-heuristic evolutionary algorithm for the distributed flexible job-shop scheduling problem with crane transportation
  publication-title: Expert Systems with Applications
  doi: 10.1016/j.eswa.2023.121050
– volume: 66
  start-page: 114
  issue: 5
  year: 2023
  ident: 10.1016/j.eswa.2024.124929_b0250
  article-title: Multi-objective equilibrium optimizer slime mould algorithm and its application in solving engineering problems
  publication-title: Structural and Multidisciplinary Optimization
  doi: 10.1007/s00158-023-03568-y
– volume: 62
  start-page: 41
  issue: 1
  year: 2020
  ident: 10.1016/j.eswa.2024.124929_b0300
  article-title: Truss optimization applying finite element limit analysis including global and local stability
  publication-title: Structural and Multidisciplinary Optimization
  doi: 10.1007/s00158-019-02468-4
– volume: 56
  start-page: 9051
  issue: 9
  year: 2023
  ident: 10.1016/j.eswa.2024.124929_b0390
  article-title: Gaussian bare-bone slime mould algorithm: Performance optimization and case studies on truss structures
  publication-title: Artificial Intelligence Review
  doi: 10.1007/s10462-022-10370-7
– volume: 264
  year: 2022
  ident: 10.1016/j.eswa.2024.124929_b0150
  article-title: Improved slime mould algorithm with elitist strategy and its application to structural optimization with natural frequency constraints
  publication-title: Computers & Structures
  doi: 10.1016/j.compstruc.2022.106760
– volume: 242
  year: 2022
  ident: 10.1016/j.eswa.2024.124929_b0175
  article-title: MOTEO: A novel physics-based multiobjective thermal exchange optimization algorithm to design truss structures
  publication-title: Knowledge-Based Systems
  doi: 10.1016/j.knosys.2022.108422
– volume: 1–14
  year: 2023
  ident: 10.1016/j.eswa.2024.124929_b0445
  article-title: Reinforcement learning-based multiobjective evolutionary algorithm for mixed-model multimanned assembly line balancing under uncertain demand
  publication-title: IEEE Transactions on Cybernetics
– volume: 147
  year: 2023
  ident: 10.1016/j.eswa.2024.124929_b0455
  article-title: A selection hyper-heuristic algorithm with Q-learning mechanism
  publication-title: Applied Soft Computing
  doi: 10.1016/j.asoc.2023.110815
– ident: 10.1016/j.eswa.2024.124929_b0160
  doi: 10.1109/ICNN.1995.488968
– volume: 242
  year: 2021
  ident: 10.1016/j.eswa.2024.124929_b0295
  article-title: Chaotic coyote algorithm applied to truss optimization problems
  publication-title: Computers & Structures
  doi: 10.1016/j.compstruc.2020.106353
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Snippet This paper proposes a hyper-heuristic evolutionary algorithm via proximal policy optimization, named HHEA-PPO, for solving multi-objective truss optimization...
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SubjectTerms Dynamic crowding distance
Hyper-heuristic algorithm
Multi-objective optimization
Proximal policy optimization
Truss optimization
Title A hyper-heuristic algorithm via proximal policy optimization for multi-objective truss problems
URI https://dx.doi.org/10.1016/j.eswa.2024.124929
Volume 256
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