An enhanced artificial hummingbird algorithm and its application in truss topology engineering optimization
In view of the shortcomings such as slow search speed, low optimization precision and premature convergence of artificial hummingbird algorithm, an enhanced artificial hummingbird algorithm based on golden sine factor named DGSAHA is proposed. Firstly, chaos mapping is used to generate the initial c...
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| Veröffentlicht in: | Advanced engineering informatics Jg. 54; S. 101761 |
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| Format: | Journal Article |
| Sprache: | Englisch |
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01.10.2022
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| ISSN: | 1474-0346, 1873-5320 |
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| Abstract | In view of the shortcomings such as slow search speed, low optimization precision and premature convergence of artificial hummingbird algorithm, an enhanced artificial hummingbird algorithm based on golden sine factor named DGSAHA is proposed. Firstly, chaos mapping is used to generate the initial candidate solution to increase the diversity of the population, which lays the foundation for the global search. Then, perturb the individuals by means of the differential variation between individuals on the group, thereby enhancing the diversity of the population, preserving the excellent individuals, eliminating the inferior individuals, and guiding the search process to approach the global optimal solution, avoiding the phenomenon of premature convergence. Finally, the golden sine factor were introduced in the guided foraging stage is conducive to the full exploration of the global optimal solution, reducing the search space for individuals to approach the optimal solution. And, it facilitates the balance between “exploration” and “exploitation” of algorithm. Thereby, the accuracy and speed of the DGSAHA can be improved to a certain extent. 25 classic functions, the CEC2014 and CEC2019 benchmark functions were tested, and several representative meta-heuristic algorithms and its improved algorithm are compared for evaluate the validity of DGSAHA. Meanwhile, the dimensional scalability of the variable-dimensional test function is discussed. The results of non-parametric statistical analysis and performance index show that DGSAHA in this paper has better comprehensive optimization performance, significantly improves the search speed and convergence precision, and has strong ability to get rid of the local optimal solution. Finally, the performance of DGSAHA and the practicability of truss structure are answered by three engineering examples of plane and space truss topology optimization problem. This optimization problem considers not only the static constraints such as stress, displacement and buckling, but also the dynamic constraints of frequency and motion stability. In order to avoid singularity and unnecessary analysis, the stiffness, mass and load matrices are reconstructed in finite element analysis. A lighter truss structure than the existing solution is obtained. The validity, extensibility and practicability of the algorithm are further illustrated. |
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| AbstractList | In view of the shortcomings such as slow search speed, low optimization precision and premature convergence of artificial hummingbird algorithm, an enhanced artificial hummingbird algorithm based on golden sine factor named DGSAHA is proposed. Firstly, chaos mapping is used to generate the initial candidate solution to increase the diversity of the population, which lays the foundation for the global search. Then, perturb the individuals by means of the differential variation between individuals on the group, thereby enhancing the diversity of the population, preserving the excellent individuals, eliminating the inferior individuals, and guiding the search process to approach the global optimal solution, avoiding the phenomenon of premature convergence. Finally, the golden sine factor were introduced in the guided foraging stage is conducive to the full exploration of the global optimal solution, reducing the search space for individuals to approach the optimal solution. And, it facilitates the balance between “exploration” and “exploitation” of algorithm. Thereby, the accuracy and speed of the DGSAHA can be improved to a certain extent. 25 classic functions, the CEC2014 and CEC2019 benchmark functions were tested, and several representative meta-heuristic algorithms and its improved algorithm are compared for evaluate the validity of DGSAHA. Meanwhile, the dimensional scalability of the variable-dimensional test function is discussed. The results of non-parametric statistical analysis and performance index show that DGSAHA in this paper has better comprehensive optimization performance, significantly improves the search speed and convergence precision, and has strong ability to get rid of the local optimal solution. Finally, the performance of DGSAHA and the practicability of truss structure are answered by three engineering examples of plane and space truss topology optimization problem. This optimization problem considers not only the static constraints such as stress, displacement and buckling, but also the dynamic constraints of frequency and motion stability. In order to avoid singularity and unnecessary analysis, the stiffness, mass and load matrices are reconstructed in finite element analysis. A lighter truss structure than the existing solution is obtained. The validity, extensibility and practicability of the algorithm are further illustrated. |
| ArticleNumber | 101761 |
| Author | Hu, Gang Wang, Jiao Li, Yan Yang, MingShun |
| Author_xml | – sequence: 1 givenname: Jiao surname: Wang fullname: Wang, Jiao email: wjiao91@163.com organization: School of Mechanical and Precision Instrument Engineering, Xi′an University of Technology, Xi’an 710048, PR China – sequence: 2 givenname: Yan surname: Li fullname: Li, Yan email: jyxy-ly@xaut.edu.cn organization: School of Mechanical and Precision Instrument Engineering, Xi′an University of Technology, Xi’an 710048, PR China – sequence: 3 givenname: Gang surname: Hu fullname: Hu, Gang email: hg_xaut@sina.com organization: Department of Applied Mathematics, Xi’an University of Technology, Xi’an 710054, PR China – sequence: 4 givenname: MingShun surname: Yang fullname: Yang, MingShun organization: School of Mechanical and Precision Instrument Engineering, Xi′an University of Technology, Xi’an 710048, PR China |
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| Cites_doi | 10.1016/S0168-874X(00)00057-3 10.1016/j.compstruc.2011.02.003 10.1109/4235.585893 10.1098/rsbl.2011.1180 10.1016/j.cma.2021.114194 10.1016/j.compstruc.2015.11.009 10.1016/j.advengsoft.2013.03.001 10.1016/j.future.2020.03.055 10.1016/j.advengsoft.2013.12.007 10.1016/j.engappai.2021.104309 10.1016/j.optcom.2020.126541 10.1016/j.compstruc.2014.03.007 10.1016/j.advengsoft.2016.01.008 10.1080/0305215X.2016.1150468 10.1016/j.knosys.2015.12.022 10.1242/bio.014357 10.1007/s00366-021-01508-2 10.1016/j.advengsoft.2017.03.014 10.1061/(ASCE)CP.1943-5487.0000741 10.1242/jeb.205.16.2325 10.1016/j.cub.2012.04.057 10.1016/j.engappai.2021.104417 10.1016/j.cma.2020.113609 10.1080/08905459808945418 10.1016/S0045-7825(99)00056-0 10.1016/0045-7825(89)90119-9 10.1016/S0022-460X(02)01021-0 10.1016/j.ins.2014.06.009 10.1109/ICNN.1995.488968 10.1007/s00366-018-0612-8 10.1155/2020/8856040 10.1016/j.aei.2021.101317 10.4316/AECE.2017.02010 10.1098/rspb.2003.2365 10.1007/s00158-012-0777-5 10.1016/j.inffus.2018.08.002 10.1016/j.advengsoft.2017.07.002 10.1016/j.engappai.2017.09.012 10.1007/978-3-642-83814-9_6 10.1007/s00158-010-0507-9 10.1061/(ASCE)0733-9445(1983)109:8(1933) 10.1016/j.jocs.2013.10.002 10.1016/j.eswa.2021.114778 10.1016/j.knosys.2015.07.006 10.1016/j.compstruc.2013.09.002 10.1016/j.swevo.2020.100665 10.1016/j.knosys.2018.11.024 10.1016/j.engappai.2020.103541 10.1080/15397734.2015.1124023 |
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| Keywords | Golden sine factor Truss topological optimization Artificial hummingbird algorithm Chaotic map Differential mutation operation |
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| References | Bateson, Healy, Hurly (b0230) 2003; 270 Xiao, Liu (b0280) 2019; 47 Leys, Reynaerts, Vandepitte (b0240) 2016; 5 Derrac, García, Hui, Suganthan, Herrera (b0295) 2014; 289 Bojczuk, Mróz (b0215) 1998; 26 Ghosh, Mallik (b0315) 1994 J.J. Liang, B.Y. Qu, P.N. Suganthan, Problem Definitions and Evaluation Criteria for the CEC 2014 Special Session and Competition on Single Objective Real-Parameter Numerical Optimization. Computational Intelligence Laboratory, Zhengzhou University Zhengzhou China and Technical Report, Nanyang Technological University, Singapore, 635, IEEE New York, NY, 2013, p. 490. Kuang, Jin, Xu, Zhang (b0255) 2015; 30 K. Price, N. Awad, M Ali, P. Suganthan, Problem definitions and evaluation criteria for the 100-digit challenge special session and competition on single objective numerical optimization: Technical Report, Nanyang Technological University, 2018. Tejani, Savsani, Patel, Savsani (b0080) 2018; 5 Li, Chen, Wang, Heidari, Mirjalili (b0190) 2020; 111 Bi, Mu, Gong (b0250) 2019; 36 Wu, Tseng (b0070) 2010; 42 Gandomi, Yang (b0245) 2014; 5 Seyedali (b0145) 2015; 89 Richardson, Bouillard, Adriaenssens, Bouillard, Filomeno (b0325) 2012; 46 Cheng, Pan, Liang, Gao, Gao (b0275) 2021; 61 Li, Liu (b0310) 2011; 9 Warrick, Hedrick, Fernandez, Tobalske, Biewener (b0235) 2012; 22 Hussain, Neggaz, Zhu, Houssein (b0025) 2021; 176 Hossam, Al-Zoubi, Asghar, Aljaraha, Mafarja, Hassonah, Fujita (b0005) 2019; 48 Discrete sizing/layout/topology optimization of truss structures with an advanced Jaya algorithm. Hu, Zhu, Wei, Chang (b0185) 2021; 105 Pea-Delgado, Peraza-Vázquez, Almazán-Covarrubias (b0175) 2020; 2020 Comparative Study of Particle Swarm Optimization Algorithms in Solving Size, Topology, and Shape Optimization. Altshuler, Dudley (b0220) 2002; 205 Wolpert, Macready (b0205) 1997; 1 Zhao, Wang, Mirjalili (b0210) 2022; 388 Li, Wang, Jiang, Li (b0270) 2021; 421 James, Russell (b0135) 1995; 4 Abualigah, Diabat, Mirjalili, Elazizfg, Gandomi (b0195) 2021; 376 Wang, Li, Hu (b0285) 2022; 38 Mirjalili, Sca (b0155) 2016; 96 Zhao, Gao, Yu, Jun (b0260) 2016; 10 Hua, Sui, Zhou, Chen, Gu, Bai, Li (b0265) 2021; 481 Ohsaki, Fujisawa, Katoh, Kanno (b0055) 1999; 180 Kirsch (b0035) 1989; 72 Ren, Wang, Pang, Yuan (b0020) 2021; 52 Tejani, Savsani, Patel (b0010) 2016; 44 Mirjalili, Gandomi, Mirjalili, Saremi, Faris, Mirjalili (b0165) 2017; 114 N.S. Khot, L. Berke, Structural Optimization Using Optimality Criteria Methods, Jan. 1984. Mirjalili, Mirjalili, Lewis (b0140) 2014 (2014) Savsani, Tejani, Patel, Savsani (b0115) 2017; 4 Jaddi, Abdullah (b0200) 2018; 67 Deb, Gulati (b0030) 2001; 37 Kaur, Awasthi, Sangal, Dhiman (b0180) 2020; 90 Hare, Nutini, Tesfamariam (b0075) 2013; 59 Tejani, Savsani, Bureerat, Patel (b0085) 2018; 32 Ward, Day, Wilkening, Wylie, Saucier, Iwaniuk (b0225) 2012; 8 Hajirasouliha, Pilakoutas, Moghaddam (b0045) 2011; 89 Rao (b0320) 2009 Savsani, Tejani, Patel (b0040) 2016; 48 Cheng, Prayogo (b0050) 2014; 139 I. Rechenberg, Evolution Strategy: Nature’s Way of Optimization. In: Bergmann, H.W. (eds) Optimization: Methods and Applications, Possibilities and Limitations, Lecture Notes in Engineering, 47(1989) Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-83814-9_6. Kaveh, Zolghadr (b0105) 2014; 130 Anter, Oliva, Thakare, Zhang (b0015) 2021; 49 Seyedali, Andrew (b0150) 2016; 95 Tejani, Savsani, Bureerat, Patel, Savsani (b0090) 2019; 35 Ahrari, Deb (b0330) 2016; 164 Houssein, Helmy, Rezk, Nassef (b0120) 2021; 103 Gaurav, Vijay (b0170) 2019; 165 Topping (b0060) 1983; 109 Kaveh, Dadras (b0125) 2017; 110 Carrasco, García, Rueda, Das, Herrera (b0290) 2020; 54 Tanyildizi, Demir (b0160) 2017; 17 Xu, Jiang, Tong, Wu (b0110) 2003; 261 Li (10.1016/j.aei.2022.101761_b0310) 2011; 9 Zhao (10.1016/j.aei.2022.101761_b0260) 2016; 10 Li (10.1016/j.aei.2022.101761_b0270) 2021; 421 Hare (10.1016/j.aei.2022.101761_b0075) 2013; 59 10.1016/j.aei.2022.101761_b0305 Leys (10.1016/j.aei.2022.101761_b0240) 2016; 5 Mirjalili (10.1016/j.aei.2022.101761_b0140) 2014 Warrick (10.1016/j.aei.2022.101761_b0235) 2012; 22 Hu (10.1016/j.aei.2022.101761_b0185) 2021; 105 Hussain (10.1016/j.aei.2022.101761_b0025) 2021; 176 Mirjalili (10.1016/j.aei.2022.101761_b0165) 2017; 114 Tejani (10.1016/j.aei.2022.101761_b0085) 2018; 32 James (10.1016/j.aei.2022.101761_b0135) 1995; 4 10.1016/j.aei.2022.101761_b0300 Bojczuk (10.1016/j.aei.2022.101761_b0215) 1998; 26 Topping (10.1016/j.aei.2022.101761_b0060) 1983; 109 10.1016/j.aei.2022.101761_b0065 10.1016/j.aei.2022.101761_b0100 Hajirasouliha (10.1016/j.aei.2022.101761_b0045) 2011; 89 Zhao (10.1016/j.aei.2022.101761_b0210) 2022; 388 Altshuler (10.1016/j.aei.2022.101761_b0220) 2002; 205 Bi (10.1016/j.aei.2022.101761_b0250) 2019; 36 Hossam (10.1016/j.aei.2022.101761_b0005) 2019; 48 Richardson (10.1016/j.aei.2022.101761_b0325) 2012; 46 Tejani (10.1016/j.aei.2022.101761_b0090) 2019; 35 Mirjalili (10.1016/j.aei.2022.101761_b0155) 2016; 96 Wu (10.1016/j.aei.2022.101761_b0070) 2010; 42 Ohsaki (10.1016/j.aei.2022.101761_b0055) 1999; 180 Kuang (10.1016/j.aei.2022.101761_b0255) 2015; 30 Bateson (10.1016/j.aei.2022.101761_b0230) 2003; 270 Abualigah (10.1016/j.aei.2022.101761_b0195) 2021; 376 Gandomi (10.1016/j.aei.2022.101761_b0245) 2014; 5 Kaur (10.1016/j.aei.2022.101761_b0180) 2020; 90 Anter (10.1016/j.aei.2022.101761_b0015) 2021; 49 Seyedali (10.1016/j.aei.2022.101761_b0145) 2015; 89 Kaveh (10.1016/j.aei.2022.101761_b0105) 2014; 130 Kirsch (10.1016/j.aei.2022.101761_b0035) 1989; 72 Tejani (10.1016/j.aei.2022.101761_b0010) 2016; 44 Ahrari (10.1016/j.aei.2022.101761_b0330) 2016; 164 Cheng (10.1016/j.aei.2022.101761_b0050) 2014; 139 Cheng (10.1016/j.aei.2022.101761_b0275) 2021; 61 Seyedali (10.1016/j.aei.2022.101761_b0150) 2016; 95 Deb (10.1016/j.aei.2022.101761_b0030) 2001; 37 Rao (10.1016/j.aei.2022.101761_b0320) 2009 Pea-Delgado (10.1016/j.aei.2022.101761_b0175) 2020; 2020 Wolpert (10.1016/j.aei.2022.101761_b0205) 1997; 1 Xiao (10.1016/j.aei.2022.101761_b0280) 2019; 47 Tanyildizi (10.1016/j.aei.2022.101761_b0160) 2017; 17 Xu (10.1016/j.aei.2022.101761_b0110) 2003; 261 Savsani (10.1016/j.aei.2022.101761_b0040) 2016; 48 Ghosh (10.1016/j.aei.2022.101761_b0315) 1994 Kaveh (10.1016/j.aei.2022.101761_b0125) 2017; 110 Derrac (10.1016/j.aei.2022.101761_b0295) 2014; 289 Ward (10.1016/j.aei.2022.101761_b0225) 2012; 8 Hua (10.1016/j.aei.2022.101761_b0265) 2021; 481 Li (10.1016/j.aei.2022.101761_b0190) 2020; 111 Jaddi (10.1016/j.aei.2022.101761_b0200) 2018; 67 Wang (10.1016/j.aei.2022.101761_b0285) 2022; 38 10.1016/j.aei.2022.101761_b0095 Tejani (10.1016/j.aei.2022.101761_b0080) 2018; 5 Gaurav (10.1016/j.aei.2022.101761_b0170) 2019; 165 Houssein (10.1016/j.aei.2022.101761_b0120) 2021; 103 10.1016/j.aei.2022.101761_b0130 Ren (10.1016/j.aei.2022.101761_b0020) 2021; 52 Savsani (10.1016/j.aei.2022.101761_b0115) 2017; 4 Carrasco (10.1016/j.aei.2022.101761_b0290) 2020; 54 |
| References_xml | – volume: 67 start-page: 246 year: 2018 end-page: 259 ident: b0200 article-title: Optimization of neural network using kidney-inspired algorithm with control of filtration rate and chaotic map for real-world rainfall forecasting publication-title: Eng. Appl. Artif. Intell. – volume: 139 start-page: 98 year: 2014 end-page: 112 ident: b0050 article-title: Symbiotic organisms search: a new metaheuristic optimization algorithm publication-title: Comput. Struct. – volume: 44 start-page: 495 year: 2016 end-page: 513 ident: b0010 article-title: Modified sub-population teaching learning-based optimization for design of truss structures with natural frequency constraints publication-title: Mech. Based Des. Struct. Mach. – volume: 46 start-page: 513 year: 2012 end-page: 532 ident: b0325 article-title: Multiobjective topology optimization of truss structures with kinematic stability repair publication-title: Struct. Multidiscip. Optim. – volume: 261 start-page: 911 year: 2003 end-page: 925 ident: b0110 article-title: Topology group concept for truss topology optimization with frequency constraints publication-title: J. Sound Vib. – volume: 22 start-page: R472 year: 2012 end-page: R477 ident: b0235 article-title: Hummingbird flight publication-title: Curr. Biol. – volume: 9 start-page: 97 year: 2011 end-page: 157 ident: b0310 article-title: Group search optimization for applications in structural design publication-title: Adapt. Learn. Optim. – volume: 32 start-page: 04017085 year: 2018 ident: b0085 article-title: Topology and size optimization of trusses with static and dynamic bounds by modified symbiotic organisms search publication-title: J. Comput. Civ. Eng. – volume: 176 year: 2021 ident: b0025 article-title: An efficient hybrid sine-cosine harris hawks optimization for low and high-dimensional feature selection publication-title: Expert Syst. Appl. – volume: 4 start-page: 106 year: 2017 end-page: 130 ident: b0115 article-title: Modified meta-heuristics using random mutation for truss topology optimization with static and dynamic constraints publication-title: J. Comput. Des. Eng. – volume: 110 start-page: 69 year: 2017 end-page: 84 ident: b0125 article-title: A novel meta-heuristic optimization algorithm: thermal exchange optimization publication-title: Adv. Eng. Softw. – volume: 164 start-page: 127 year: 2016 end-page: 144 ident: b0330 article-title: An improved fully stressed design evolution strategy for layout optimization of truss structures publication-title: Comput. Struct. – volume: 52 year: 2021 ident: b0020 article-title: A heuristic optimization approach for multi-vehicle and one-cargo green transportation scheduling in shipbuilding publication-title: Adv. Eng. Inf. – volume: 180 start-page: 203 year: 1999 end-page: 217 ident: b0055 article-title: Semi-definite programming for topology optimization of trusses under multiple eigenvalue constraints publication-title: Comput. Methods Appl. Mech. Eng. – volume: 61 start-page: 100816-1 year: 2021 end-page: 100816-16 ident: b0275 article-title: Differential evolution algorithm with fitness and diversity ranking-based mutation operator publication-title: Swarm Evol. Comput. – volume: 376 year: 2021 ident: b0195 article-title: The arithmetic optimization algorithm publication-title: Comput. Method Appl. M. – volume: 59 start-page: 19 year: 2013 end-page: 28 ident: b0075 article-title: A survey of non-gradient optimization methods in structural engineering publication-title: Adv. Eng. Softw. – volume: 89 start-page: 228 year: 2015 end-page: 249 ident: b0145 article-title: Moth-flame optimization algorithm: a novel nature-inspired heuristic paradigm publication-title: Knowl.-Based Syst. – volume: 17 start-page: 71 year: 2017 end-page: 78 ident: b0160 article-title: Golden sine algorithm: a novel math-inspired algorithm publication-title: Adv. Electr. Comput. En. – volume: 2020 start-page: 1 year: 2020 end-page: 10 ident: b0175 article-title: A novel bio-inspired algorithm applied to selective harmonic elimination in a three-phase eleven-level inverter publication-title: Math. Probl. Eng. – volume: 49 year: 2021 ident: b0015 article-title: AFCM-LSMA: new intelligent model based on Lévy slime mould algorithm and adaptive fuzzy C-means for identification of COVID-19 infection from chest X-ray images publication-title: Adv. Eng. Inf. – reference: Comparative Study of Particle Swarm Optimization Algorithms in Solving Size, Topology, and Shape Optimization. – volume: 47 start-page: 2177 year: 2019 end-page: 2186 ident: b0280 article-title: Study on elite opposition-based golden-sine whale optimization algorithm and its application of project optimization publication-title: Acta Electronica Sinica – volume: 481 year: 2021 ident: b0265 article-title: A novel method of global optimization for wavefront shaping based on the differential evolution algorithm publication-title: Opt. Commun. – volume: 35 start-page: 499 year: 2019 end-page: 517 ident: b0090 article-title: Topology optimization of truss subjected to static and dynamic constraints by integrating simulated annealing into passing vehicle search algorithms publication-title: Eng. Comput. – volume: 5 start-page: 1052 year: 2016 end-page: 1060 ident: b0240 article-title: Outperforming hummingbirds’ load-lifting capability with a lightweight hummingbird-like flapping-wing mechanism publication-title: Biol. Open – volume: 103 year: 2021 ident: b0120 article-title: An enhanced archimedes optimization algorithm based on local escaping operator and orthogonal learning for PEM fuel cell parameter identification publication-title: Eng. Appl. Artif. Intell. – volume: 38 start-page: 2821 year: 2022 end-page: 2857 ident: b0285 article-title: Hybrid seagull optimization algorithm and its engineering application integrating Yin-Yang Pair idea publication-title: Eng. Comput. – reference: J.J. Liang, B.Y. Qu, P.N. Suganthan, Problem Definitions and Evaluation Criteria for the CEC 2014 Special Session and Competition on Single Objective Real-Parameter Numerical Optimization. Computational Intelligence Laboratory, Zhengzhou University Zhengzhou China and Technical Report, Nanyang Technological University, Singapore, 635, IEEE New York, NY, 2013, p. 490. – volume: 8 start-page: 657 year: 2012 end-page: 659 ident: b0225 article-title: Hummingbirds have a greatly enlarged hippocampal formation publication-title: Biol. Lett. – volume: 130 start-page: 10 year: 2014 end-page: 21 ident: b0105 article-title: Democratic PSO for truss layout and size optimization with frequency constraints publication-title: Comput. Struct. – volume: 5 start-page: 198 year: 2018 end-page: 214 ident: b0080 article-title: Size, shape, and topology optimization of planar and space trusses using mutation-based improved metaheuristics publication-title: J. Comput. Des. Eng. – volume: 95 start-page: 51 year: 2016 end-page: 67 ident: b0150 article-title: The whale optimization algorithm publication-title: Adv. Eng. Softw. – volume: 111 start-page: 300 year: 2020 end-page: 323 ident: b0190 article-title: Slime mould algorithm: a new method for stochastic optimization publication-title: Future Gener. Comp. Sy. – volume: 1 start-page: 67 year: 1997 end-page: 82 ident: b0205 article-title: No free lunch theorems for optimization publication-title: IEEE Trans. Evol. Comput. – volume: 30 start-page: 839 year: 2015 end-page: 847 ident: b0255 article-title: Hybridization algorithm of Tent chaos artificial bee colony and particle swarm optimization publication-title: Control Decision – volume: 26 start-page: 21 year: 1998 end-page: 40 ident: b0215 article-title: Optimal design of trusses with account for topology variation publication-title: Mech. Struct. Mach. – volume: 10 start-page: 722 year: 2016 end-page: 731 ident: b0260 article-title: Ant lion optimizer with chaotic investigation mechanism for optimizing SVM parameters publication-title: J. Front. Computer Sci. Technol. – volume: 90 year: 2020 ident: b0180 article-title: Tunicate Swarm Algorithm: a new bio-inspired based metaheuristic paradigm for global optimization publication-title: Eng. Appl. Artif. Intel. – volume: 5 start-page: 224 year: 2014 end-page: 232 ident: b0245 article-title: Chaotic bat algorithm publication-title: J. Comput. Sci. – volume: 96 start-page: 120 year: 2016 end-page: 133 ident: b0155 article-title: a sine cosine algorithm for solving optimization problems publication-title: Knowl.-Based Syst. – volume: 105 year: 2021 ident: b0185 article-title: An improved marine predators algorithm for shape optimization of developable Ball surfaces publication-title: Eng. Appl. Artif. Intell. – volume: 48 start-page: 1 year: 2016 end-page: 17 ident: b0040 article-title: Truss topology optimization with static and dynamic constraints using the modified sub-population teaching learning based optimization publication-title: Eng. Optim. – reference: N.S. Khot, L. Berke, Structural Optimization Using Optimality Criteria Methods, Jan. 1984. – volume: 72 start-page: 15 year: 1989 end-page: 28 ident: b0035 article-title: Optimal topologies of truss structures publication-title: Comput. Method. Appl. M. – volume: 289 start-page: 41 year: 2014 end-page: 58 ident: b0295 article-title: Analyzing convergence performance of evolutionary algorithms: a statistical approach publication-title: Inform. Sciences – volume: 109 start-page: 1933 year: 1983 end-page: 1951 ident: b0060 article-title: Shape optimization of skeletal structures: a review publication-title: J. Struct. Eng. – reference: I. Rechenberg, Evolution Strategy: Nature’s Way of Optimization. In: Bergmann, H.W. (eds) Optimization: Methods and Applications, Possibilities and Limitations, Lecture Notes in Engineering, 47(1989) Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-83814-9_6. – start-page: 46 year: 2014 (2014) end-page: 61 ident: b0140 article-title: Grey Wolf Optimizer publication-title: Adv. Eng. Softw. – volume: 270 start-page: 1271 year: 2003 end-page: 1276 ident: b0230 article-title: Context-dependent foraging decisions in rufous hummingbirds publication-title: Proc. R. Soc. B. – volume: 421 start-page: 285 year: 2021 end-page: 302 ident: b0270 article-title: Differential evolution algorithm with multi-population cooperation and multi-strategy integration publication-title: Neurocomputing – volume: 165 start-page: 169 year: 2019 end-page: 196 ident: b0170 article-title: Seagull optimization algorithm: theory and its applications for large-scale industrial engineering problems publication-title: Knowl- Based Syst. – volume: 37 start-page: 447 year: 2001 end-page: 465 ident: b0030 article-title: Design of truss-structures for minimum weight using genetic algorithms publication-title: Finite Eleme. Anal. Des. – volume: 388 year: 2022 ident: b0210 article-title: Artificial hummingbird algorithm: A new bio-inspired optimizer with its engineering applications publication-title: Comput. Method Appl. M. – volume: 4 start-page: 1942 year: 1995 end-page: 1948 ident: b0135 article-title: Particle swarm optimization publication-title: Proc. IEEE Int. Conf. Neural Networks – year: 1994 ident: b0315 article-title: Theory of Mechanisms and Machines – volume: 205 start-page: 2325 year: 2002 end-page: 2336 ident: b0220 article-title: The ecological and evolutionary interface of hummingbird flight physiology publication-title: J. Exp. Biol. – reference: K. Price, N. Awad, M Ali, P. Suganthan, Problem definitions and evaluation criteria for the 100-digit challenge special session and competition on single objective numerical optimization: Technical Report, Nanyang Technological University, 2018. – year: 2009 ident: b0320 article-title: Engineering Optimization Theory and Practice – volume: 42 start-page: 575 year: 2010 end-page: 590 ident: b0070 article-title: Truss structure optimization using adaptive multi-population differential evolution publication-title: Struct. Multidiscip. O. – volume: 48 start-page: 67 year: 2019 end-page: 83 ident: b0005 article-title: An intelligent system for spam detection and identification of the most relevant features based on evolutionary random weight networks publication-title: Inf. Fusion – volume: 54 year: 2020 ident: b0290 article-title: Recent trends in the use of statistical tests for comparing swarm and evolutionary computing algorithms: practical guidelines and a critical review publication-title: Swarm Evol. Comput. – volume: 114 start-page: 163 year: 2017 end-page: 191 ident: b0165 article-title: Salp Swarm Algorithm: a bio-inspired optimizer for engineering design problems publication-title: Adv. Eng. Softw. – reference: Discrete sizing/layout/topology optimization of truss structures with an advanced Jaya algorithm. – volume: 89 start-page: 702 year: 2011 end-page: 711 ident: b0045 article-title: Topology optimization for the seismic design of truss-like structures publication-title: Comput. Struct. – volume: 36 start-page: 78 year: 2019 end-page: 83 ident: b0250 article-title: Whale optimization algorithm combined with dynamic probability threshold and an adaptive mutation publication-title: Microelectron. Comput. – volume: 37 start-page: 447 issue: 5 year: 2001 ident: 10.1016/j.aei.2022.101761_b0030 article-title: Design of truss-structures for minimum weight using genetic algorithms publication-title: Finite Eleme. Anal. Des. doi: 10.1016/S0168-874X(00)00057-3 – volume: 52 year: 2021 ident: 10.1016/j.aei.2022.101761_b0020 article-title: A heuristic optimization approach for multi-vehicle and one-cargo green transportation scheduling in shipbuilding publication-title: Adv. Eng. Inf. – volume: 89 start-page: 702 year: 2011 ident: 10.1016/j.aei.2022.101761_b0045 article-title: Topology optimization for the seismic design of truss-like structures publication-title: Comput. Struct. doi: 10.1016/j.compstruc.2011.02.003 – volume: 1 start-page: 67 issue: 1 year: 1997 ident: 10.1016/j.aei.2022.101761_b0205 article-title: No free lunch theorems for optimization publication-title: IEEE Trans. Evol. Comput. doi: 10.1109/4235.585893 – volume: 8 start-page: 657 issue: 4 year: 2012 ident: 10.1016/j.aei.2022.101761_b0225 article-title: Hummingbirds have a greatly enlarged hippocampal formation publication-title: Biol. Lett. doi: 10.1098/rsbl.2011.1180 – ident: 10.1016/j.aei.2022.101761_b0300 – volume: 388 year: 2022 ident: 10.1016/j.aei.2022.101761_b0210 article-title: Artificial hummingbird algorithm: A new bio-inspired optimizer with its engineering applications publication-title: Comput. Method Appl. M. doi: 10.1016/j.cma.2021.114194 – volume: 164 start-page: 127 year: 2016 ident: 10.1016/j.aei.2022.101761_b0330 article-title: An improved fully stressed design evolution strategy for layout optimization of truss structures publication-title: Comput. Struct. doi: 10.1016/j.compstruc.2015.11.009 – volume: 59 start-page: 19 year: 2013 ident: 10.1016/j.aei.2022.101761_b0075 article-title: A survey of non-gradient optimization methods in structural engineering publication-title: Adv. Eng. Softw. doi: 10.1016/j.advengsoft.2013.03.001 – volume: 111 start-page: 300 year: 2020 ident: 10.1016/j.aei.2022.101761_b0190 article-title: Slime mould algorithm: a new method for stochastic optimization publication-title: Future Gener. Comp. Sy. doi: 10.1016/j.future.2020.03.055 – start-page: 46 year: 2014 ident: 10.1016/j.aei.2022.101761_b0140 article-title: Grey Wolf Optimizer publication-title: Adv. Eng. Softw. doi: 10.1016/j.advengsoft.2013.12.007 – volume: 103 year: 2021 ident: 10.1016/j.aei.2022.101761_b0120 article-title: An enhanced archimedes optimization algorithm based on local escaping operator and orthogonal learning for PEM fuel cell parameter identification publication-title: Eng. Appl. Artif. Intell. doi: 10.1016/j.engappai.2021.104309 – volume: 481 year: 2021 ident: 10.1016/j.aei.2022.101761_b0265 article-title: A novel method of global optimization for wavefront shaping based on the differential evolution algorithm publication-title: Opt. Commun. doi: 10.1016/j.optcom.2020.126541 – volume: 30 start-page: 839 issue: 5 year: 2015 ident: 10.1016/j.aei.2022.101761_b0255 article-title: Hybridization algorithm of Tent chaos artificial bee colony and particle swarm optimization publication-title: Control Decision – volume: 36 start-page: 78 issue: 12 year: 2019 ident: 10.1016/j.aei.2022.101761_b0250 article-title: Whale optimization algorithm combined with dynamic probability threshold and an adaptive mutation publication-title: Microelectron. Comput. – volume: 139 start-page: 98 year: 2014 ident: 10.1016/j.aei.2022.101761_b0050 article-title: Symbiotic organisms search: a new metaheuristic optimization algorithm publication-title: Comput. Struct. doi: 10.1016/j.compstruc.2014.03.007 – volume: 95 start-page: 51 year: 2016 ident: 10.1016/j.aei.2022.101761_b0150 article-title: The whale optimization algorithm publication-title: Adv. Eng. Softw. doi: 10.1016/j.advengsoft.2016.01.008 – year: 1994 ident: 10.1016/j.aei.2022.101761_b0315 – year: 2009 ident: 10.1016/j.aei.2022.101761_b0320 – volume: 48 start-page: 1 issue: 11 year: 2016 ident: 10.1016/j.aei.2022.101761_b0040 article-title: Truss topology optimization with static and dynamic constraints using the modified sub-population teaching learning based optimization publication-title: Eng. Optim. doi: 10.1080/0305215X.2016.1150468 – volume: 96 start-page: 120 year: 2016 ident: 10.1016/j.aei.2022.101761_b0155 article-title: a sine cosine algorithm for solving optimization problems publication-title: Knowl.-Based Syst. doi: 10.1016/j.knosys.2015.12.022 – volume: 5 start-page: 1052 issue: 8 year: 2016 ident: 10.1016/j.aei.2022.101761_b0240 article-title: Outperforming hummingbirds’ load-lifting capability with a lightweight hummingbird-like flapping-wing mechanism publication-title: Biol. Open doi: 10.1242/bio.014357 – volume: 38 start-page: 2821 year: 2022 ident: 10.1016/j.aei.2022.101761_b0285 article-title: Hybrid seagull optimization algorithm and its engineering application integrating Yin-Yang Pair idea publication-title: Eng. Comput. doi: 10.1007/s00366-021-01508-2 – volume: 110 start-page: 69 year: 2017 ident: 10.1016/j.aei.2022.101761_b0125 article-title: A novel meta-heuristic optimization algorithm: thermal exchange optimization publication-title: Adv. Eng. Softw. doi: 10.1016/j.advengsoft.2017.03.014 – ident: 10.1016/j.aei.2022.101761_b0065 – volume: 61 start-page: 100816-1 issue: 4 year: 2021 ident: 10.1016/j.aei.2022.101761_b0275 article-title: Differential evolution algorithm with fitness and diversity ranking-based mutation operator publication-title: Swarm Evol. Comput. – volume: 32 start-page: 04017085 issue: 2 year: 2018 ident: 10.1016/j.aei.2022.101761_b0085 article-title: Topology and size optimization of trusses with static and dynamic bounds by modified symbiotic organisms search publication-title: J. Comput. Civ. Eng. doi: 10.1061/(ASCE)CP.1943-5487.0000741 – volume: 205 start-page: 2325 issue: 16 year: 2002 ident: 10.1016/j.aei.2022.101761_b0220 article-title: The ecological and evolutionary interface of hummingbird flight physiology publication-title: J. Exp. Biol. doi: 10.1242/jeb.205.16.2325 – volume: 22 start-page: R472 issue: 12 year: 2012 ident: 10.1016/j.aei.2022.101761_b0235 article-title: Hummingbird flight publication-title: Curr. Biol. doi: 10.1016/j.cub.2012.04.057 – volume: 105 year: 2021 ident: 10.1016/j.aei.2022.101761_b0185 article-title: An improved marine predators algorithm for shape optimization of developable Ball surfaces publication-title: Eng. Appl. Artif. Intell. doi: 10.1016/j.engappai.2021.104417 – volume: 376 year: 2021 ident: 10.1016/j.aei.2022.101761_b0195 article-title: The arithmetic optimization algorithm publication-title: Comput. Method Appl. M. doi: 10.1016/j.cma.2020.113609 – volume: 26 start-page: 21 issue: 1 year: 1998 ident: 10.1016/j.aei.2022.101761_b0215 article-title: Optimal design of trusses with account for topology variation publication-title: Mech. Struct. Mach. doi: 10.1080/08905459808945418 – volume: 180 start-page: 203 issue: 1–2 year: 1999 ident: 10.1016/j.aei.2022.101761_b0055 article-title: Semi-definite programming for topology optimization of trusses under multiple eigenvalue constraints publication-title: Comput. Methods Appl. Mech. Eng. doi: 10.1016/S0045-7825(99)00056-0 – volume: 72 start-page: 15 issue: 1 year: 1989 ident: 10.1016/j.aei.2022.101761_b0035 article-title: Optimal topologies of truss structures publication-title: Comput. Method. Appl. M. doi: 10.1016/0045-7825(89)90119-9 – volume: 261 start-page: 911 issue: 5 year: 2003 ident: 10.1016/j.aei.2022.101761_b0110 article-title: Topology group concept for truss topology optimization with frequency constraints publication-title: J. Sound Vib. doi: 10.1016/S0022-460X(02)01021-0 – volume: 289 start-page: 41 year: 2014 ident: 10.1016/j.aei.2022.101761_b0295 article-title: Analyzing convergence performance of evolutionary algorithms: a statistical approach publication-title: Inform. Sciences doi: 10.1016/j.ins.2014.06.009 – volume: 4 start-page: 1942 year: 1995 ident: 10.1016/j.aei.2022.101761_b0135 article-title: Particle swarm optimization publication-title: Proc. IEEE Int. Conf. Neural Networks doi: 10.1109/ICNN.1995.488968 – volume: 5 start-page: 198 issue: 2 year: 2018 ident: 10.1016/j.aei.2022.101761_b0080 article-title: Size, shape, and topology optimization of planar and space trusses using mutation-based improved metaheuristics publication-title: J. Comput. Des. Eng. – volume: 35 start-page: 499 issue: 2 year: 2019 ident: 10.1016/j.aei.2022.101761_b0090 article-title: Topology optimization of truss subjected to static and dynamic constraints by integrating simulated annealing into passing vehicle search algorithms publication-title: Eng. Comput. doi: 10.1007/s00366-018-0612-8 – volume: 2020 start-page: 1 year: 2020 ident: 10.1016/j.aei.2022.101761_b0175 article-title: A novel bio-inspired algorithm applied to selective harmonic elimination in a three-phase eleven-level inverter publication-title: Math. Probl. Eng. doi: 10.1155/2020/8856040 – volume: 49 year: 2021 ident: 10.1016/j.aei.2022.101761_b0015 article-title: AFCM-LSMA: new intelligent model based on Lévy slime mould algorithm and adaptive fuzzy C-means for identification of COVID-19 infection from chest X-ray images publication-title: Adv. Eng. Inf. doi: 10.1016/j.aei.2021.101317 – volume: 17 start-page: 71 issue: 2 year: 2017 ident: 10.1016/j.aei.2022.101761_b0160 article-title: Golden sine algorithm: a novel math-inspired algorithm publication-title: Adv. Electr. Comput. En. doi: 10.4316/AECE.2017.02010 – volume: 270 start-page: 1271 issue: 1521 year: 2003 ident: 10.1016/j.aei.2022.101761_b0230 article-title: Context-dependent foraging decisions in rufous hummingbirds publication-title: Proc. R. Soc. B. doi: 10.1098/rspb.2003.2365 – volume: 46 start-page: 513 year: 2012 ident: 10.1016/j.aei.2022.101761_b0325 article-title: Multiobjective topology optimization of truss structures with kinematic stability repair publication-title: Struct. Multidiscip. Optim. doi: 10.1007/s00158-012-0777-5 – volume: 48 start-page: 67 year: 2019 ident: 10.1016/j.aei.2022.101761_b0005 article-title: An intelligent system for spam detection and identification of the most relevant features based on evolutionary random weight networks publication-title: Inf. Fusion doi: 10.1016/j.inffus.2018.08.002 – volume: 114 start-page: 163 year: 2017 ident: 10.1016/j.aei.2022.101761_b0165 article-title: Salp Swarm Algorithm: a bio-inspired optimizer for engineering design problems publication-title: Adv. Eng. Softw. doi: 10.1016/j.advengsoft.2017.07.002 – volume: 67 start-page: 246 year: 2018 ident: 10.1016/j.aei.2022.101761_b0200 article-title: Optimization of neural network using kidney-inspired algorithm with control of filtration rate and chaotic map for real-world rainfall forecasting publication-title: Eng. Appl. Artif. Intell. doi: 10.1016/j.engappai.2017.09.012 – volume: 47 start-page: 2177 issue: 10 year: 2019 ident: 10.1016/j.aei.2022.101761_b0280 article-title: Study on elite opposition-based golden-sine whale optimization algorithm and its application of project optimization publication-title: Acta Electronica Sinica – ident: 10.1016/j.aei.2022.101761_b0130 doi: 10.1007/978-3-642-83814-9_6 – ident: 10.1016/j.aei.2022.101761_b0100 – volume: 42 start-page: 575 issue: 4 year: 2010 ident: 10.1016/j.aei.2022.101761_b0070 article-title: Truss structure optimization using adaptive multi-population differential evolution publication-title: Struct. Multidiscip. O. doi: 10.1007/s00158-010-0507-9 – ident: 10.1016/j.aei.2022.101761_b0305 – volume: 9 start-page: 97 year: 2011 ident: 10.1016/j.aei.2022.101761_b0310 article-title: Group search optimization for applications in structural design publication-title: Adapt. Learn. Optim. – volume: 109 start-page: 1933 issue: 8 year: 1983 ident: 10.1016/j.aei.2022.101761_b0060 article-title: Shape optimization of skeletal structures: a review publication-title: J. Struct. Eng. doi: 10.1061/(ASCE)0733-9445(1983)109:8(1933) – volume: 5 start-page: 224 issue: 2 year: 2014 ident: 10.1016/j.aei.2022.101761_b0245 article-title: Chaotic bat algorithm publication-title: J. Comput. Sci. doi: 10.1016/j.jocs.2013.10.002 – volume: 176 year: 2021 ident: 10.1016/j.aei.2022.101761_b0025 article-title: An efficient hybrid sine-cosine harris hawks optimization for low and high-dimensional feature selection publication-title: Expert Syst. Appl. doi: 10.1016/j.eswa.2021.114778 – ident: 10.1016/j.aei.2022.101761_b0095 – volume: 89 start-page: 228 year: 2015 ident: 10.1016/j.aei.2022.101761_b0145 article-title: Moth-flame optimization algorithm: a novel nature-inspired heuristic paradigm publication-title: Knowl.-Based Syst. doi: 10.1016/j.knosys.2015.07.006 – volume: 130 start-page: 10 year: 2014 ident: 10.1016/j.aei.2022.101761_b0105 article-title: Democratic PSO for truss layout and size optimization with frequency constraints publication-title: Comput. Struct. doi: 10.1016/j.compstruc.2013.09.002 – volume: 421 start-page: 285 issue: 1 year: 2021 ident: 10.1016/j.aei.2022.101761_b0270 article-title: Differential evolution algorithm with multi-population cooperation and multi-strategy integration publication-title: Neurocomputing – volume: 54 year: 2020 ident: 10.1016/j.aei.2022.101761_b0290 article-title: Recent trends in the use of statistical tests for comparing swarm and evolutionary computing algorithms: practical guidelines and a critical review publication-title: Swarm Evol. Comput. doi: 10.1016/j.swevo.2020.100665 – volume: 165 start-page: 169 year: 2019 ident: 10.1016/j.aei.2022.101761_b0170 article-title: Seagull optimization algorithm: theory and its applications for large-scale industrial engineering problems publication-title: Knowl- Based Syst. doi: 10.1016/j.knosys.2018.11.024 – volume: 90 year: 2020 ident: 10.1016/j.aei.2022.101761_b0180 article-title: Tunicate Swarm Algorithm: a new bio-inspired based metaheuristic paradigm for global optimization publication-title: Eng. Appl. Artif. Intel. doi: 10.1016/j.engappai.2020.103541 – volume: 10 start-page: 722 issue: 5 year: 2016 ident: 10.1016/j.aei.2022.101761_b0260 article-title: Ant lion optimizer with chaotic investigation mechanism for optimizing SVM parameters publication-title: J. Front. Computer Sci. Technol. – volume: 44 start-page: 495 issue: 4 year: 2016 ident: 10.1016/j.aei.2022.101761_b0010 article-title: Modified sub-population teaching learning-based optimization for design of truss structures with natural frequency constraints publication-title: Mech. Based Des. Struct. Mach. doi: 10.1080/15397734.2015.1124023 – volume: 4 start-page: 106 year: 2017 ident: 10.1016/j.aei.2022.101761_b0115 article-title: Modified meta-heuristics using random mutation for truss topology optimization with static and dynamic constraints publication-title: J. Comput. Des. Eng. |
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