Starling murmuration optimizer: A novel bio-inspired algorithm for global and engineering optimization

This paper presents a novel bio-inspired algorithm inspired by starlings’ behaviors during their stunning murmuration named starling murmuration optimizer (SMO) to solve complex and engineering optimization problems as the most appropriate application of metaheuristic algorithms. The SMO introduces...

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Vydané v:	Computer methods in applied mechanics and engineering Ročník 392; s. 114616
Hlavní autori:	Zamani, Hoda, Nadimi-Shahraki, Mohammad H., Gandomi, Amir H.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Amsterdam Elsevier B.V 15.03.2022 Elsevier BV
Predmet:	Algorithms Applied mechanics and engineering problems Bio-inspired algorithm Diving Harmonic oscillators Heuristic methods Mechanical engineering Metaheuristic algorithm Optimization Optimization algorithm Quantum computing Search methods Statistical analysis Swarm intelligence algorithm Swarm intelligence algorithm Applied mechanics and engineering problems Optimization algorithm Quantum computing Metaheuristic algorithm Bio-inspired algorithm
ISSN:	0045-7825
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Abstract	This paper presents a novel bio-inspired algorithm inspired by starlings’ behaviors during their stunning murmuration named starling murmuration optimizer (SMO) to solve complex and engineering optimization problems as the most appropriate application of metaheuristic algorithms. The SMO introduces a dynamic multi-flock construction and three new search strategies, separating, diving, and whirling. The separating search strategy aims to enhance the population diversity and local optima avoidance using a new separating operator based on the quantum harmonic oscillator. The diving search strategy aims to explore the search space sufficiently by a new quantum random dive operator, whereas the whirling search strategy exploits the vicinity of promising regions using a new operator called cohesion force. The SMO strikes a balance between exploration and exploitation by selecting either a diving strategy or a whirling strategy based on the flocks’ quality. The SMO was tested using various benchmark functions with dimensions 30, 50, 100. The experimental results prove that the SMO is more competitive than other state-of-the-art algorithms regarding solution quality and convergence rate. Then, the SMO is applied to solve several mechanical engineering problems in which results demonstrate that it can provide more accurate solutions. A statistical analysis shows that SMO is superior to the other contenders. •Proposing a novel, bio-inspired algorithm named starling murmuration optimizer (SMO).•Introducing a diving strategy and a quantum random dives operator for exploration.•Introducing a whirling strategy and a cohesion operator for exploitation.•Introducing a strategy using quantum harmonic oscillator to enhance diversity.•SMO is superior to other tested algorithms on benchmarks and engineering problems.
AbstractList	This paper presents a novel bio-inspired algorithm inspired by starlings’ behaviors during their stunning murmuration named starling murmuration optimizer (SMO) to solve complex and engineering optimization problems as the most appropriate application of metaheuristic algorithms. The SMO introduces a dynamic multi-flock construction and three new search strategies, separating, diving, and whirling. The separating search strategy aims to enhance the population diversity and local optima avoidance using a new separating operator based on the quantum harmonic oscillator. The diving search strategy aims to explore the search space sufficiently by a new quantum random dive operator, whereas the whirling search strategy exploits the vicinity of promising regions using a new operator called cohesion force. The SMO strikes a balance between exploration and exploitation by selecting either a diving strategy or a whirling strategy based on the flocks’ quality. The SMO was tested using various benchmark functions with dimensions 30, 50, 100. The experimental results prove that the SMO is more competitive than other state-of-the-art algorithms regarding solution quality and convergence rate. Then, the SMO is applied to solve several mechanical engineering problems in which results demonstrate that it can provide more accurate solutions. A statistical analysis shows that SMO is superior to the other contenders. •Proposing a novel, bio-inspired algorithm named starling murmuration optimizer (SMO).•Introducing a diving strategy and a quantum random dives operator for exploration.•Introducing a whirling strategy and a cohesion operator for exploitation.•Introducing a strategy using quantum harmonic oscillator to enhance diversity.•SMO is superior to other tested algorithms on benchmarks and engineering problems. This paper presents a novel bio-inspired algorithm inspired by starlings' behaviors during their stunning murmuration named starling murmuration optimizer (SMO) to solve complex and engineering optimization problems as the most appropriate application of metaheuristic algorithms. The SMO introduces a dynamic multi-flock construction and three new search strategies, separating, diving, and whirling. The separating search strategy aims to enhance the population diversity and local optima avoidance using a new separating operator based on the quantum harmonic oscillator. The diving search strategy aims to explore the search space sufficiently by a new quantum random dive operator, whereas the whirling search strategy exploits the vicinity of promising regions using a new operator called cohesion force. The SMO strikes a balance between exploration and exploitation by selecting either a diving strategy or a whirling strategy based on the flocks' quality. The SMO was tested using various benchmark functions with dimensions 30, 50, 100. The experimental results prove that the SMO is more competitive than other state-of-the-art algorithms regarding solution quality and convergence rate. Then, the SMO is applied to solve several mechanical engineering problems in which results demonstrate that it can provide more accurate solutions. A statistical analysis shows that SMO is superior to the other contenders.
ArticleNumber	114616
Author	Nadimi-Shahraki, Mohammad H. Gandomi, Amir H. Zamani, Hoda
Author_xml	– sequence: 1 givenname: Hoda surname: Zamani fullname: Zamani, Hoda organization: Faculty of Computer Engineering, Najafabad Branch, Islamic Azad University, Najafabad, Iran – sequence: 2 givenname: Mohammad H. orcidid: 0000-0002-0135-1115 surname: Nadimi-Shahraki fullname: Nadimi-Shahraki, Mohammad H. email: nadimi@iaun.ac.ir, nadimi@ieee.org organization: Faculty of Computer Engineering, Najafabad Branch, Islamic Azad University, Najafabad, Iran – sequence: 3 givenname: Amir H. surname: Gandomi fullname: Gandomi, Amir H. organization: Faculty of Engineering & Information Technology, University of Technology Sydney, Ultimo, Australia
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Cites_doi	10.1016/j.asoc.2020.106367 10.1016/S0045-7825(97)00215-6 10.1016/j.knosys.2020.105709 10.1007/s00170-009-2363-6 10.1016/j.advengsoft.2013.12.007 10.1016/j.swevo.2018.02.013 10.1016/j.eswa.2020.113702 10.1016/j.swevo.2020.100671 10.1016/j.future.2019.07.015 10.1016/j.compstruc.2020.106250 10.1016/j.advengsoft.2016.01.008 10.1016/j.engappai.2021.104314 10.1016/j.asoc.2013.12.005 10.1007/s00366-017-0523-0 10.3390/computers10110136 10.1016/j.engappai.2019.08.009 10.1016/j.eswa.2018.04.012 10.1016/j.asoc.2010.11.025 10.1016/j.cma.2018.04.037 10.1016/j.cie.2021.107408 10.1016/j.eswa.2018.11.031 10.1142/S0219622020500546 10.1007/s00158-003-0345-0 10.1016/j.advengsoft.2017.07.002 10.1016/j.cie.2020.107050 10.1016/j.compstruc.2003.09.002 10.1016/j.advengsoft.2017.01.004 10.3390/pr9122276 10.1080/0952813X.2015.1042530 10.1016/j.cma.2020.113609 10.1016/j.knosys.2015.07.006 10.1007/s11432-012-4548-0 10.1007/s10898-007-9149-x 10.1016/j.cor.2014.10.011 10.1016/j.knosys.2018.08.030 10.1038/scientificamerican0792-66 10.1109/TEVC.2008.919004 10.1023/A:1015059928466 10.1038/nphys3035 10.1016/j.cnsns.2012.05.010 10.1016/j.eswa.2020.113917 10.1109/ACCESS.2021.3085529 10.1016/j.swevo.2020.100693 10.1016/j.cma.2020.113017 10.1016/j.asoc.2019.105583 10.1016/j.eswa.2020.113572 10.1007/s00521-018-3592-0 10.1016/j.cie.2020.106559 10.1016/j.asoc.2021.107403 10.1016/j.asoc.2018.04.010 10.1007/s00366-016-0485-7 10.1016/j.biosystems.2018.09.007 10.1016/j.ins.2013.02.041 10.1016/j.ejor.2006.06.046 10.1016/j.cma.2021.114194 10.1016/j.cub.2011.11.033 10.1007/s00500-018-3102-4 10.1109/TEVC.2005.857610 10.3934/mbe.2021192 10.5923/j.eee.20120204.05 10.1504/IJVD.2001.005210 10.1016/j.cma.2018.01.035 10.1016/j.advengsoft.2017.05.014 10.1093/beheco/arq149 10.1016/j.eswa.2020.114107 10.1016/j.future.2019.02.028 10.1016/j.engappai.2019.01.001 10.1016/j.asoc.2020.106761 10.1007/s00521-017-3272-5 10.1016/j.advengsoft.2018.04.007 10.1109/4235.585893 10.1016/S0166-3615(99)00046-9 10.1016/j.advengsoft.2005.04.005 10.3390/e23121637 10.1016/j.asoc.2017.11.043 10.1023/A:1008202821328
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PublicationDate	2022-03-15
PublicationDateYYYYMMDD	2022-03-15
PublicationDate_xml	– month: 03 year: 2022 text: 2022-03-15 day: 15
PublicationDecade	2020
PublicationPlace	Amsterdam
PublicationPlace_xml	– name: Amsterdam
PublicationTitle	Computer methods in applied mechanics and engineering
PublicationYear	2022
Publisher	Elsevier B.V Elsevier BV
Publisher_xml	– name: Elsevier B.V – name: Elsevier BV
References	Dorigo, Di Caro (b12) 1999 Kashan (b51) 2015; 55 Mohammadi-Balani, Nayeri, Azar, Taghizadeh-Yazdi (b34) 2021; 152 Accessed 04 January 2022, No changes were made. Liang, Qu, Suganthan, Hernández-Díaz (b79) 2013 Siddall (b113) 1982 Arora (b103) 2004 Sadollah, Sayyaadi, Lee, Kim (b60) 2018; 68 Abualigah, Diabat, Mirjalili, Abd Elaziz, Gandomi (b54) 2021; 376 Gupta, Deep (b75) 2020; 93 Ghasemi, Varaee (b100) 2017; 33 Zhao, Du, Jiang (b1) 2018; 339 Kashan (b59) 2014; 16 Zaldivar, Morales, Rodríguez, A. Valdivia, Cuevas, Pérez-Cisneros (b42) 2018; 174 Morales-Castañeda, Zaldivar, Cuevas, Fausto, Rodríguez (b73) 2020; 54 Yildiz, Pholdee, Bureerat, Yildiz, Sait (b110) 2021 Coello (b105) 2000; 41 Nadimi-Shahraki, Taghian, Mirjalili (b76) 2021; 166 Liang, Qin, Suganthan, Baskar (b30) 2006; 10 Zahrani, Nadimi-Shahraki, Sayarshad (b98) 2021; 17 Zhao, Wang, Mirjalili (b37) 2022; 388 Zamani, Nadimi-Shahraki, Gandomi (b36) 2021; 104 Moghdani, Salimifard (b61) 2018; 64 Zhao, Wang, Zhang (b55) 2019; 163 Wang, Jin, Cheng (b21) 2012; 55 Levin (b88) 2002 Meng, Gao, Lu, Liu, Zhang (b31) 2016; 28 Ouadfel, Abd Elaziz (b65) 2020; 159 Ferreira (b48) 2001 Liang, Qu, Suganthan (b80) 2013 Gandomi, Alavi (b39) 2012; 17 Shayeghi, Dadashpour (b58) 2012; 2 Kumar, Wu, Ali, Mallipeddi, Suganthan, Das (b82) 2020; 56 Dezfouli, Nadimi-Shahraki, Zamani (b70) 2018 Abdollahzadeh, Soleimanian Gharehchopogh, Mirjalili (b35) 2021; 158 Wolpert, Macready (b78) 1997; 1 Atashpaz-Gargari, Lucas (b56) 2007 Omran, Al-Sharhan (b94) 2019; 85 Jain, Singh, Rani (b25) 2019; 44 Wang, Koh, Yu, Xie, Cheong (b3) 2020; 366 Gandomi, Deb, Averill, Rahnamayan, Omidvar (b77) 2019; 120 Mohammadi, Abd Elaziz, Moghdani, Demir, Mirjalili (b53) 2021 Mahmoodi, Amini, Behzadian, Karimipour (b29) 2013; 1 Sayarshad (b6) 2010; 48 Zervoudakis, Tsafarakis (b20) 2020; 145 Hashim, Houssein, Mabrouk, Al-Atabany, Mirjalili (b93) 2019; 101 Xu, Cui, Zeng (b57) 2010 Kannan, Kramer (b106) 1994 Pant, Thangaraj, Singh (b114) 2009; 1 Banharnsakun, Achalakul, Sirinaovakul (b15) 2011; 11 Youn, Choi (b111) 2004; 82 Kallioras, Lagaros, Avtzis (b18) 2018; 121 Rao (b107) 2016 Połap, Woźniak (b27) 2021; 166 Premkumar, Jangir, Kumar, Sowmya, Alhelou, Abualigah, Yildiz, Mirjalili (b101) 2021 Li (b38) 2003 Gu, Yang, Tho, Makowskit, Faruquet, Li (b83) 2001; 26 Simon (b49) 2008; 12 King, Sumpter (b90) 2012; 22 Himmelblau (b112) 1972 Eberhart, Kennedy (b28) 1995 Dhiman, Kumar (b24) 2017; 114 Gholizadeh, Danesh, Gheyratmand (b4) 2020; 234 Holland (b45) 1992; 267 Erol, Eksin (b50) 2006; 37 Askari, Younas, Saeed (b62) 2020; 195 Heidari, Mirjalili, Faris, Aljarah, Mafarja, Chen (b32) 2019; 97 Arora, Singh (b19) 2019; 23 Storn, Price (b46) 1997; 11 Saremi, Mirjalili, Lewis (b17) 2017; 105 Mohmmadzadeh, Soleimanian Gharehchopogh (b67) 2021 Abd Elaziz, Elsheikh, Oliva, Abualigah, Lu, Ewees (b96) 2021 Hildenbrandt, Carere, Hemelrijk (b85) 2010; 21 Fister Jr., Yang, Fister, Brest, Fister (b9) 2013 Mirjalili, Gandomi, Mirjalili, Saremi, Faris, Mirjalili (b41) 2017; 114 Shadravan, Naji, Bardsiri (b43) 2019; 80 Hussain, Salleh, Cheng, Shi (b91) 2019; 31 Wilcoxon (b84) 1992 Zhu, Kwong (b71) 2010; 217 Zamani, Nadimi-Shahraki, Gandomi (b33) 2019 Mohammadzadeh, Soleimanian Gharehchopogh (b64) 2021; 20 Nadimi-Shahraki, Fatahi, Zamani, Mirjalili, Abualigah, Abd Elaziz (b72) 2021; 9 Lu, Gao, Yi (b74) 2018; 107 Attanasi, Cavagna, Del Castello, Giardina, Grigera, Jelić, Melillo, Parisi, Pohl, Shen (b86) 2014; 10 Boussaïd, Lepagnot, Siarry (b10) 2013; 237 Beightler, Phillips (b108) 1976 Talbi (b11) 2009 Mirjalili, Lewis (b40) 2016; 95 Ghasemi, Varaee (b102) 2018; 34 Andrei, Andrei (b115) 2013 Copyright Walter Baxter under Creative Commons CC BY-SA 2.0), image retrieved from Colorni, Dorigo, Maniezzo (b13) 1991 Jiang, Luo, Wei, Abualigah, Zhou (b66) 2021; 18 Nadimi-Shahraki, Taghian, Mirjalili, Faris (b95) 2020; 97 Taghian, Nadimi-Shahraki, Zamani (b68) 2018 Benyamin, Soleimanian Gharehchopogh, Seyedali (b26) 2021 Nadimi-Shahraki, Banaie-Dezfouli, Zamani, Taghian, Mirjalili (b69) 2021; 10 McMahon (b89) 2007 Wang, Deb, Coelho (b23) 2015 Socha, Dorigo (b92) 2008; 185 Chou, Truong (b44) 2021; 389 Youn, Choi, Yang, Gu (b109) 2004; 26 Xia, Zhang, Xia, Shi (b2) 2018; 333 Karaboga, Basturk (b14) 2007; 39 Mirjalili, Mirjalili, Lewis (b22) 2014; 69 Hashim, Houssein, Mabrouk, Al-Atabany, Mirjalili (b52) 2019; 101 Nadimi-Shahraki, Fatahi, Zamani, Mirjalili, Abualigah (b99) 2021; 23 Papadrakakis, Lagaros, Tsompanakis (b5) 1998; 156 Yang (b8) 2013 Altabeeb, Mohsen, Abualigah, Ghallab (b97) 2021; 108 Askari, Saeed, Younas (b63) 2020; 161 Belegundu (b104) 1982 Wu, Mallipeddi, Suganthan (b81) 2017 Mirjalili (b16) 2015; 89 Walter Baxter, Starlings over Gretna, 29 November 2008 Beyer, Schwefel (b47) 2002; 1 Faris, Aljarah, Al-Betar, Mirjalili (b7) 2018; 30 Mirjalili (10.1016/j.cma.2022.114616_b16) 2015; 89 Holland (10.1016/j.cma.2022.114616_b45) 1992; 267 Attanasi (10.1016/j.cma.2022.114616_b86) 2014; 10 Beyer (10.1016/j.cma.2022.114616_b47) 2002; 1 Ghasemi (10.1016/j.cma.2022.114616_b100) 2017; 33 Liang (10.1016/j.cma.2022.114616_b79) 2013 Sadollah (10.1016/j.cma.2022.114616_b60) 2018; 68 Ouadfel (10.1016/j.cma.2022.114616_b65) 2020; 159 Omran (10.1016/j.cma.2022.114616_b94) 2019; 85 Belegundu (10.1016/j.cma.2022.114616_b104) 1982 Sayarshad (10.1016/j.cma.2022.114616_b6) 2010; 48 Xu (10.1016/j.cma.2022.114616_b57) 2010 Zahrani (10.1016/j.cma.2022.114616_b98) 2021; 17 Wang (10.1016/j.cma.2022.114616_b23) 2015 McMahon (10.1016/j.cma.2022.114616_b89) 2007 Storn (10.1016/j.cma.2022.114616_b46) 1997; 11 Abdollahzadeh (10.1016/j.cma.2022.114616_b35) 2021; 158 Wolpert (10.1016/j.cma.2022.114616_b78) 1997; 1 Hashim (10.1016/j.cma.2022.114616_b52) 2019; 101 Hildenbrandt (10.1016/j.cma.2022.114616_b85) 2010; 21 Youn (10.1016/j.cma.2022.114616_b111) 2004; 82 Karaboga (10.1016/j.cma.2022.114616_b14) 2007; 39 Ghasemi (10.1016/j.cma.2022.114616_b102) 2018; 34 Mohammadi-Balani (10.1016/j.cma.2022.114616_b34) 2021; 152 Papadrakakis (10.1016/j.cma.2022.114616_b5) 1998; 156 Eberhart (10.1016/j.cma.2022.114616_b28) 1995 King (10.1016/j.cma.2022.114616_b90) 2012; 22 Heidari (10.1016/j.cma.2022.114616_b32) 2019; 97 Jiang (10.1016/j.cma.2022.114616_b66) 2021; 18 Mohmmadzadeh (10.1016/j.cma.2022.114616_b67) 2021 Zervoudakis (10.1016/j.cma.2022.114616_b20) 2020; 145 Kumar (10.1016/j.cma.2022.114616_b82) 2020; 56 Meng (10.1016/j.cma.2022.114616_b31) 2016; 28 Faris (10.1016/j.cma.2022.114616_b7) 2018; 30 Yildiz (10.1016/j.cma.2022.114616_b110) 2021 Xia (10.1016/j.cma.2022.114616_b2) 2018; 333 Nadimi-Shahraki (10.1016/j.cma.2022.114616_b76) 2021; 166 Liang (10.1016/j.cma.2022.114616_b30) 2006; 10 Zamani (10.1016/j.cma.2022.114616_b33) 2019 Morales-Castañeda (10.1016/j.cma.2022.114616_b73) 2020; 54 Lu (10.1016/j.cma.2022.114616_b74) 2018; 107 Taghian (10.1016/j.cma.2022.114616_b68) 2018 Liang (10.1016/j.cma.2022.114616_b80) 2013 Himmelblau (10.1016/j.cma.2022.114616_b112) 1972 Andrei (10.1016/j.cma.2022.114616_b115) 2013 Pant (10.1016/j.cma.2022.114616_b114) 2009; 1 Wang (10.1016/j.cma.2022.114616_b21) 2012; 55 Arora (10.1016/j.cma.2022.114616_b19) 2019; 23 Askari (10.1016/j.cma.2022.114616_b62) 2020; 195 Abualigah (10.1016/j.cma.2022.114616_b54) 2021; 376 Zhao (10.1016/j.cma.2022.114616_b55) 2019; 163 Zamani (10.1016/j.cma.2022.114616_b36) 2021; 104 Nadimi-Shahraki (10.1016/j.cma.2022.114616_b99) 2021; 23 Shayeghi (10.1016/j.cma.2022.114616_b58) 2012; 2 Gandomi (10.1016/j.cma.2022.114616_b77) 2019; 120 Wang (10.1016/j.cma.2022.114616_b3) 2020; 366 Rao (10.1016/j.cma.2022.114616_b107) 2016 Beightler (10.1016/j.cma.2022.114616_b108) 1976 10.1016/j.cma.2022.114616_b87 Zhu (10.1016/j.cma.2022.114616_b71) 2010; 217 Kannan (10.1016/j.cma.2022.114616_b106) 1994 Nadimi-Shahraki (10.1016/j.cma.2022.114616_b95) 2020; 97 Benyamin (10.1016/j.cma.2022.114616_b26) 2021 Mirjalili (10.1016/j.cma.2022.114616_b22) 2014; 69 Mohammadi (10.1016/j.cma.2022.114616_b53) 2021 Coello (10.1016/j.cma.2022.114616_b105) 2000; 41 Simon (10.1016/j.cma.2022.114616_b49) 2008; 12 Mahmoodi (10.1016/j.cma.2022.114616_b29) 2013; 1 Połap (10.1016/j.cma.2022.114616_b27) 2021; 166 Hussain (10.1016/j.cma.2022.114616_b91) 2019; 31 Colorni (10.1016/j.cma.2022.114616_b13) 1991 Mirjalili (10.1016/j.cma.2022.114616_b40) 2016; 95 Nadimi-Shahraki (10.1016/j.cma.2022.114616_b69) 2021; 10 Saremi (10.1016/j.cma.2022.114616_b17) 2017; 105 Dhiman (10.1016/j.cma.2022.114616_b24) 2017; 114 Kashan (10.1016/j.cma.2022.114616_b59) 2014; 16 Banharnsakun (10.1016/j.cma.2022.114616_b15) 2011; 11 Zhao (10.1016/j.cma.2022.114616_b37) 2022; 388 Askari (10.1016/j.cma.2022.114616_b63) 2020; 161 Wu (10.1016/j.cma.2022.114616_b81) 2017 Moghdani (10.1016/j.cma.2022.114616_b61) 2018; 64 Youn (10.1016/j.cma.2022.114616_b109) 2004; 26 Li (10.1016/j.cma.2022.114616_b38) 2003 Mohammadzadeh (10.1016/j.cma.2022.114616_b64) 2021; 20 Gupta (10.1016/j.cma.2022.114616_b75) 2020; 93 Jain (10.1016/j.cma.2022.114616_b25) 2019; 44 Gu (10.1016/j.cma.2022.114616_b83) 2001; 26 Levin (10.1016/j.cma.2022.114616_b88) 2002 Hashim (10.1016/j.cma.2022.114616_b93) 2019; 101 Ferreira (10.1016/j.cma.2022.114616_b48) 2001 Abd Elaziz (10.1016/j.cma.2022.114616_b96) 2021 Gandomi (10.1016/j.cma.2022.114616_b39) 2012; 17 Socha (10.1016/j.cma.2022.114616_b92) 2008; 185 Atashpaz-Gargari (10.1016/j.cma.2022.114616_b56) 2007 Gholizadeh (10.1016/j.cma.2022.114616_b4) 2020; 234 Wilcoxon (10.1016/j.cma.2022.114616_b84) 1992 Kallioras (10.1016/j.cma.2022.114616_b18) 2018; 121 Arora (10.1016/j.cma.2022.114616_b103) 2004 Chou (10.1016/j.cma.2022.114616_b44) 2021; 389 Erol (10.1016/j.cma.2022.114616_b50) 2006; 37 Premkumar (10.1016/j.cma.2022.114616_b101) 2021 Boussaïd (10.1016/j.cma.2022.114616_b10) 2013; 237 Siddall (10.1016/j.cma.2022.114616_b113) 1982 Talbi (10.1016/j.cma.2022.114616_b11) 2009 Fister Jr. (10.1016/j.cma.2022.114616_b9) 2013 Mirjalili (10.1016/j.cma.2022.114616_b41) 2017; 114 Altabeeb (10.1016/j.cma.2022.114616_b97) 2021; 108 Yang (10.1016/j.cma.2022.114616_b8) 2013 Nadimi-Shahraki (10.1016/j.cma.2022.114616_b72) 2021; 9 Shadravan (10.1016/j.cma.2022.114616_b43) 2019; 80 Kashan (10.1016/j.cma.2022.114616_b51) 2015; 55 Dorigo (10.1016/j.cma.2022.114616_b12) 1999 Dezfouli (10.1016/j.cma.2022.114616_b70) 2018 Zhao (10.1016/j.cma.2022.114616_b1) 2018; 339 Zaldivar (10.1016/j.cma.2022.114616_b42) 2018; 174
References_xml	– volume: 2 start-page: 199 year: 2012 end-page: 207 ident: b58 article-title: Anarchic society optimization based PID control of an automatic voltage regulator (AVR) system publication-title: Electr. Electron. Eng. – volume: 101 start-page: 646 year: 2019 end-page: 667 ident: b93 article-title: Henry gas solubility optimization: A novel physics-based algorithm publication-title: Future Gener. Comput. Syst. – volume: 22 start-page: R112 year: 2012 end-page: R114 ident: b90 article-title: Murmurations publication-title: Curr. Biol. – volume: 21 start-page: 1349 year: 2010 end-page: 1359 ident: b85 article-title: Self-organized aerial displays of thousands of starlings: a model publication-title: Behav. Ecol. – start-page: 1 year: 2013 end-page: 23 ident: b8 article-title: Optimization and metaheuristic algorithms in engineering publication-title: Metaheuristics Water Geotechn. Transp. Eng. – start-page: 1 year: 2021 end-page: 43 ident: b67 article-title: An efficient binary chaotic symbiotic organisms search algorithm approaches for feature selection problems publication-title: J. Supercomput. – volume: 9 start-page: 2276 year: 2021 ident: b72 article-title: Migration-based moth–flame optimization algorithm publication-title: Processes – volume: 12 start-page: 702 year: 2008 end-page: 713 ident: b49 article-title: Biogeography-based optimization publication-title: IEEE Trans. Evolution. Comp. – year: 1976 ident: b108 article-title: Applied Geometric Programming – volume: 114 start-page: 163 year: 2017 end-page: 191 ident: b41 article-title: Salp swarm algorithm: A bio-inspired optimizer for engineering design problems publication-title: Adv. Eng. Softw. – year: 2009 ident: b11 article-title: Metaheuristics: From Design to Implementation – start-page: 39 year: 1995 end-page: 43 ident: b28 article-title: A new optimizer using particle swarm theory publication-title: MHS’95. Proceedings of the Sixth International Symposium on Micro Machine and Human Science – volume: 41 start-page: 113 year: 2000 end-page: 127 ident: b105 article-title: Use of a self-adaptive penalty approach for engineering optimization problems publication-title: Comput. Ind. – year: 2019 ident: b33 article-title: CCSA: Conscious neighborhood-based crow search algorithm for solving global optimization problems publication-title: Appl. Soft Comput. – volume: 1 start-page: 3 year: 2002 end-page: 52 ident: b47 article-title: Evolution strategies—a comprehensive introduction publication-title: Natural Comput. – volume: 1 start-page: 21 year: 2009 ident: b114 article-title: Optimization of mechanical design problems using improved differential evolution algorithm publication-title: Int. J. Recent Trends Eng. – year: 1994 ident: b106 article-title: An augmented Lagrange multiplier based method for mixed integer discrete continuous optimization and its applications to mechanical design – volume: 389 year: 2021 ident: b44 article-title: A novel metaheuristic optimizer inspired by behavior of jellyfish in ocean publication-title: Appl. Math. Comput. – volume: 97 year: 2020 ident: b95 article-title: Mtde: An effective multi-trial vector-based differential evolution algorithm and its applications for engineering design problems publication-title: Appl. Soft Comput. – volume: 16 start-page: 171 year: 2014 end-page: 200 ident: b59 article-title: League Championship Algorithm (LCA): An algorithm for global optimization inspired by sport championships publication-title: Appl. Soft Comput. – reference: Copyright Walter Baxter under Creative Commons CC BY-SA 2.0), image retrieved from – volume: 1 start-page: 369 year: 2013 ident: b29 article-title: Cross flow plate fin heat exchanger entropy generation minimization using particle swarm optimization algorithm publication-title: J. Curr. Res. Sci. – volume: 159 year: 2020 ident: b65 article-title: Enhanced crow search algorithm for feature selection publication-title: Expert Syst. Appl. – volume: 44 start-page: 148 year: 2019 end-page: 175 ident: b25 article-title: A novel nature-inspired algorithm for optimization: Squirrel search algorithm publication-title: Swarm Evol. Comput. – volume: 152 year: 2021 ident: b34 article-title: Golden eagle optimizer: A nature-inspired metaheuristic algorithm publication-title: Comput. Ind. Eng. – volume: 89 start-page: 228 year: 2015 end-page: 249 ident: b16 article-title: Moth-flame optimization algorithm: A novel nature-inspired heuristic paradigm publication-title: Knowl.-Based Syst. – start-page: 1 year: 2021 end-page: 13 ident: b110 article-title: Enhanced grasshopper optimization algorithm using elite opposition-based learning for solving real-world engineering problems publication-title: Eng. Comput. – volume: 54 year: 2020 ident: b73 article-title: A better balance in metaheuristic algorithms: Does it exist? publication-title: Swarm Evol. Comput. – year: 2017 ident: b81 article-title: Problem Definitions and Evaluation Criteria for the CEC 2017 Competition on Constrained Real-Parameter Optimization – volume: 366 year: 2020 ident: b3 article-title: Material and shape optimization of bi-directional functionally graded plates by GIGA and an improved multi-objective particle swarm optimization algorithm publication-title: Comput. Methods Appl. Mech. Engrg. – volume: 64 start-page: 161 year: 2018 end-page: 185 ident: b61 article-title: Volleyball premier league algorithm publication-title: Appl. Soft Comput. – year: 2013 ident: b80 article-title: Problem Definitions and Evaluation Criteria for the CEC 2014 Special Session and Competition on Single Objective Real-Parameter Numerical Optimization – volume: 217 start-page: 3166 year: 2010 end-page: 3173 ident: b71 article-title: Gbest-guided artificial bee colony algorithm for numerical function optimization publication-title: Appl. Math. Comput. – volume: 69 start-page: 46 year: 2014 end-page: 61 ident: b22 article-title: Grey wolf optimizer publication-title: Adv. Eng. Softw. – start-page: 27 year: 2003 ident: b38 article-title: A New Intelligent Optimization-Artificial Fish Swarm Algorithm – start-page: 1 year: 2021 end-page: 22 ident: b96 article-title: Advanced metaheuristic techniques for mechanical design problems publication-title: Arch. Comput. Methods Eng. – volume: 333 start-page: 356 year: 2018 end-page: 370 ident: b2 article-title: Stress-based topology optimization using bi-directional evolutionary structural optimization method publication-title: Comput. Methods Appl. Mech. Engrg. – volume: 28 start-page: 673 year: 2016 end-page: 687 ident: b31 article-title: A new bio-inspired optimisation algorithm: Bird swarm algorithm publication-title: J. Exp. Theoret. Artif. Intell. – volume: 163 start-page: 283 year: 2019 end-page: 304 ident: b55 article-title: Atom search optimization and its application to solve a hydrogeologic parameter estimation problem publication-title: Knowledge-Based Syst. – volume: 185 start-page: 1155 year: 2008 end-page: 1173 ident: b92 article-title: Ant colony optimization for continuous domains publication-title: European J. Oper. Res. – volume: 101 start-page: 646 year: 2019 end-page: 667 ident: b52 article-title: Henry gas solubility optimization: A novel physics-based algorithm publication-title: Future Gener. Comput. Syst. – start-page: 134 year: 1991 end-page: 142 ident: b13 article-title: Distributed Optimization By Ant Colonies, actes de la première conférence européenne sur la vie artificielle – volume: 80 start-page: 20 year: 2019 end-page: 34 ident: b43 article-title: The Sailfish Optimizer: A novel nature-inspired metaheuristic algorithm for solving constrained engineering optimization problems publication-title: Eng. Appl. Artif. Intell. – year: 1972 ident: b112 article-title: Applied Nonlinear Programming – volume: 82 start-page: 241 year: 2004 end-page: 256 ident: b111 article-title: A new response surface methodology for reliability-based design optimization publication-title: Comput. Struct. – volume: 104 year: 2021 ident: b36 article-title: QANA: Quantum-based avian navigation optimizer algorithm publication-title: Eng. Appl. Artif. Intell. – volume: 33 start-page: 477 year: 2017 end-page: 496 ident: b100 article-title: A fast multi-objective optimization using an efficient ideal gas molecular movement algorithm publication-title: Eng. Comput. – year: 2016 ident: b107 article-title: Engineering Optimization – volume: 26 start-page: 272 year: 2004 end-page: 283 ident: b109 article-title: Reliability-based design optimization for crashworthiness of vehicle side impact publication-title: Struct. Multidiscip. Optim. – year: 1982 ident: b113 article-title: Optimal Engineering Design: Principles and Applications – volume: 158 year: 2021 ident: b35 article-title: African vultures optimization algorithm: A new nature-inspired metaheuristic algorithm for global optimization problems publication-title: Comput. Ind. Eng. – volume: 30 start-page: 413 year: 2018 end-page: 435 ident: b7 article-title: Grey wolf optimizer: a review of recent variants and applications publication-title: Neural Comput. Appl. – volume: 237 start-page: 82 year: 2013 end-page: 117 ident: b10 article-title: A survey on optimization metaheuristics publication-title: Inform. Sci. – year: 2021 ident: b26 article-title: Artificial gorilla troops optimizer: A new nature-inspired metaheuristic algorithm for global optimization problems publication-title: Int. J. Intell. Syst. – volume: 56 year: 2020 ident: b82 article-title: A test-suite of non-convex constrained optimization problems from the real-world and some baseline results publication-title: Swarm Evol. Comput. – reference: , Accessed 04 January 2022, No changes were made. – volume: 31 start-page: 7665 year: 2019 end-page: 7683 ident: b91 article-title: On the exploration and exploitation in popular swarm-based metaheuristic algorithms publication-title: Neural Comput. Appl. – year: 2013 ident: b9 article-title: A brief review of nature-inspired algorithms for optimization – volume: 267 start-page: 66 year: 1992 end-page: 73 ident: b45 article-title: Genetic algorithms publication-title: Scientific American – volume: 26 start-page: 348 year: 2001 end-page: 360 ident: b83 article-title: Optimisation and robustness for crashworthiness of side impact publication-title: Int. J. Veh. Des. – volume: 108 year: 2021 ident: b97 article-title: Solving capacitated vehicle routing problem using cooperative firefly algorithm publication-title: Appl. Soft Comput. – volume: 23 start-page: 1637 year: 2021 ident: b99 article-title: An improved moth-flame optimization algorithm with adaptation mechanism to solve numerical and mechanical engineering problems publication-title: Entropy – start-page: 1 year: 2018 end-page: 6 ident: b68 article-title: Comparative analysis of transfer function-based binary metaheuristic algorithms for feature selection publication-title: 2018 International Conference on Artificial Intelligence and Data Processing, IDAP – volume: 339 start-page: 341 year: 2018 end-page: 357 ident: b1 article-title: An adaptive multiscale approach for identifying multiple flaws based on XFEM and a discrete artificial fish swarm algorithm publication-title: Comput. Methods Appl. Mech. Engrg. – volume: 114 start-page: 48 year: 2017 end-page: 70 ident: b24 article-title: Spotted hyena optimizer: a novel bio-inspired based metaheuristic technique for engineering applications publication-title: Adv. Eng. Softw. – volume: 174 start-page: 1 year: 2018 end-page: 21 ident: b42 article-title: A novel bio-inspired optimization model based on yellow saddle goatfish behavior publication-title: Biosystems – start-page: 196 year: 1992 end-page: 202 ident: b84 article-title: Individual comparisons by ranking methods publication-title: Breakthroughs in Statistics – volume: 166 year: 2021 ident: b76 article-title: An improved grey wolf optimizer for solving engineering problems publication-title: Expert Syst. Appl. – start-page: 583 year: 2010 end-page: 590 ident: b57 article-title: Social emotional optimization algorithm for nonlinear constrained optimization problems publication-title: International Conference on Swarm, Evolutionary, and Memetic Computing – start-page: 1470 year: 1999 end-page: 1477 ident: b12 article-title: Ant colony optimization: a new meta-heuristic publication-title: Proceedings of the 1999 Congress on Evolutionary Computation-CEC99 (Cat. No. 99TH8406) – volume: 20 start-page: 469 year: 2021 end-page: 515 ident: b64 article-title: Feature selection with binary symbiotic organisms search algorithm for email spam detection publication-title: Int. J. Inf. Technol. Decis. Mak. – volume: 39 start-page: 459 year: 2007 end-page: 471 ident: b14 article-title: A powerful and efficient algorithm for numerical function optimization: artificial bee colony (ABC) algorithm publication-title: J. Global Optim. – volume: 85 start-page: 818 year: 2019 end-page: 829 ident: b94 article-title: Improved continuous Ant Colony Optimization algorithms for real-world engineering optimization problems publication-title: Eng. Appl. Artif. Intell. – volume: 48 start-page: 1009 year: 2010 end-page: 1018 ident: b6 article-title: Using bees algorithm for material handling equipment planning in manufacturing systems publication-title: Int. J. Adv. Manuf. Technol. – volume: 68 start-page: 548 year: 2018 end-page: 564 ident: b60 article-title: Mine blast harmony search: A new hybrid optimization method for improving exploration and exploitation capabilities publication-title: Appl. Soft Comput. – volume: 11 start-page: 341 year: 1997 end-page: 359 ident: b46 article-title: Differential evolution—a simple and efficient heuristic for global optimization over continuous spaces publication-title: J. Global Optimiz. – year: 2004 ident: b103 article-title: Introduction to Optimum Design – volume: 388 year: 2022 ident: b37 article-title: Artificial hummingbird algorithm: A new bio-inspired optimizer with its engineering applications publication-title: Comput. Methods Appl. Mech. Engrg. – volume: 166 year: 2021 ident: b27 article-title: Red fox optimization algorithm publication-title: Expert Syst. Appl. – volume: 10 start-page: 136 year: 2021 ident: b69 article-title: B-MFO: A binary moth-flame optimization for feature selection from medical datasets publication-title: Computers – volume: 95 start-page: 51 year: 2016 end-page: 67 ident: b40 article-title: The whale optimization algorithm publication-title: Adv. Eng. Softw. – volume: 23 start-page: 715 year: 2019 end-page: 734 ident: b19 article-title: Butterfly optimization algorithm: a novel approach for global optimization publication-title: Soft Comput. – start-page: 1 year: 2015 end-page: 5 ident: b23 article-title: Elephant herding optimization publication-title: 2015 3rd International Symposium on Computational and Business Intelligence, ISCBI – volume: 10 start-page: 281 year: 2006 end-page: 295 ident: b30 article-title: Comprehensive learning particle swarm optimizer for global optimization of multimodal functions publication-title: IEEE Trans. Evol. Comput. – volume: 18 start-page: 3813 year: 2021 end-page: 3854 ident: b66 article-title: An efficient binary gradient-based optimizer for feature selection publication-title: Math. Biosci. Eng. – start-page: 1 year: 2021 end-page: 20 ident: b53 article-title: Quantum henry gas solubility optimization algorithm for global optimization publication-title: Eng. Comput. – volume: 107 start-page: 89 year: 2018 end-page: 114 ident: b74 article-title: Grey wolf optimizer with cellular topological structure publication-title: Expert Syst. Appl. – year: 2013 ident: b115 article-title: Nonlinear Optimization Applications using the GAMS Technology – volume: 97 start-page: 849 year: 2019 end-page: 872 ident: b32 article-title: Harris hawks optimization: Algorithm and applications publication-title: Future Gener. Comput. Syst. – volume: 195 year: 2020 ident: b62 article-title: Political optimizer: A novel socio-inspired meta-heuristic for global optimization publication-title: Knowl.-Based Syst. – volume: 34 start-page: 91 year: 2018 end-page: 116 ident: b102 article-title: Enhanced IGMM optimization algorithm based on vibration for numerical and engineering problems publication-title: Eng. Comput. – volume: 234 year: 2020 ident: b4 article-title: A new Newton metaheuristic algorithm for discrete performance-based design optimization of steel moment frames publication-title: Comput. Struct. – volume: 10 start-page: 691 year: 2014 ident: b86 article-title: Information transfer and behavioural inertia in starling flocks publication-title: Nat. Phys. – year: 2007 ident: b89 article-title: Quantum Computing Explained – volume: 17 year: 2021 ident: b98 article-title: An intelligent social-based method for rail-car fleet sizing problem publication-title: J. Rail Transp. Plann. Manage. – volume: 17 start-page: 4831 year: 2012 end-page: 4845 ident: b39 article-title: Krill herd: a new bio-inspired optimization algorithm publication-title: Commun. Nonlinear Sci. Numer. Simul. – volume: 156 start-page: 309 year: 1998 end-page: 333 ident: b5 article-title: Structural optimization using evolution strategies and neural networks publication-title: Comput. Methods Appl. Mech. Engrg. – year: 2021 ident: b101 article-title: A new arithmetic optimization algorithm for solving real-world multiobjective CEC-2021 constrained optimization problems: Diversity analysis and validations publication-title: IEEE Access – volume: 121 start-page: 147 year: 2018 end-page: 166 ident: b18 article-title: Pity beetle algorithm–A new metaheuristic inspired by the behavior of bark beetles publication-title: Adv. Eng. Softw. – volume: 105 start-page: 30 year: 2017 end-page: 47 ident: b17 article-title: Grasshopper optimisation algorithm: theory and application publication-title: Adv. Eng. Softw. – volume: 1 start-page: 67 year: 1997 end-page: 82 ident: b78 article-title: No free lunch theorems for optimization publication-title: IEEE Trans. Evol. Comput. – start-page: 4661 year: 2007 end-page: 4667 ident: b56 article-title: Imperialist competitive algorithm: an algorithm for optimization inspired by imperialistic competition publication-title: 2007 IEEE Congress on Evolutionary Computation – volume: 55 start-page: 99 year: 2015 end-page: 125 ident: b51 article-title: A new metaheuristic for optimization: optics inspired optimization (OIO) publication-title: Comput. Operat. Res. – volume: 145 year: 2020 ident: b20 article-title: A mayfly optimization algorithm publication-title: Comput. Ind. Eng. – volume: 55 start-page: 2369 year: 2012 end-page: 2389 ident: b21 article-title: Lion pride optimizer: An optimization algorithm inspired by lion pride behavior publication-title: Sci. China Inf. Sci. – year: 2001 ident: b48 article-title: Gene expression programming: a new adaptive algorithm for solving problems – volume: 93 year: 2020 ident: b75 article-title: A memory-based grey wolf optimizer for global optimization tasks publication-title: Appl. Soft Comput. – year: 1982 ident: b104 article-title: A Study of Mathematical Programming Methods for Structural Optimization – volume: 120 start-page: 279 year: 2019 end-page: 297 ident: b77 article-title: Using semi-independent variables to enhance optimization search publication-title: Expert Syst. Appl. – reference: Walter Baxter, Starlings over Gretna, 29 November 2008, (© – volume: 376 year: 2021 ident: b54 article-title: The arithmetic optimization algorithm publication-title: Comput. Methods Appl. Mech. Eng. – volume: 37 start-page: 106 year: 2006 end-page: 111 ident: b50 article-title: A new optimization method: big bang–big crunch publication-title: Adv. Eng. Soft. – volume: 11 start-page: 2888 year: 2011 end-page: 2901 ident: b15 article-title: The best-so-far selection in artificial bee colony algorithm publication-title: Appl. Soft Comput. – volume: 161 year: 2020 ident: b63 article-title: Heap-based optimizer inspired by corporate rank hierarchy for global optimization publication-title: Expert Syst. Appl. – start-page: 281 year: 2013 end-page: 295 ident: b79 article-title: Problem Definitions and Evaluation Criteria for the CEC 2013 Special Session on Real-Parameter Optimization – year: 2002 ident: b88 article-title: An Introduction to Quantum Theory – start-page: 1 year: 2018 end-page: 6 ident: b70 article-title: A novel tour planning model using big data publication-title: 2018 International Conference on Artificial Intelligence and Data Processing, IDAP – start-page: 1 year: 2021 ident: 10.1016/j.cma.2022.114616_b67 article-title: An efficient binary chaotic symbiotic organisms search algorithm approaches for feature selection problems publication-title: J. Supercomput. – volume: 93 year: 2020 ident: 10.1016/j.cma.2022.114616_b75 article-title: A memory-based grey wolf optimizer for global optimization tasks publication-title: Appl. Soft Comput. doi: 10.1016/j.asoc.2020.106367 – year: 1982 ident: 10.1016/j.cma.2022.114616_b113 – volume: 156 start-page: 309 year: 1998 ident: 10.1016/j.cma.2022.114616_b5 article-title: Structural optimization using evolution strategies and neural networks publication-title: Comput. Methods Appl. Mech. Engrg. doi: 10.1016/S0045-7825(97)00215-6 – volume: 195 year: 2020 ident: 10.1016/j.cma.2022.114616_b62 article-title: Political optimizer: A novel socio-inspired meta-heuristic for global optimization publication-title: Knowl.-Based Syst. doi: 10.1016/j.knosys.2020.105709 – year: 2016 ident: 10.1016/j.cma.2022.114616_b107 – start-page: 1 year: 2021 ident: 10.1016/j.cma.2022.114616_b53 article-title: Quantum henry gas solubility optimization algorithm for global optimization publication-title: Eng. Comput. – volume: 48 start-page: 1009 year: 2010 ident: 10.1016/j.cma.2022.114616_b6 article-title: Using bees algorithm for material handling equipment planning in manufacturing systems publication-title: Int. J. Adv. Manuf. Technol. doi: 10.1007/s00170-009-2363-6 – volume: 69 start-page: 46 year: 2014 ident: 10.1016/j.cma.2022.114616_b22 article-title: Grey wolf optimizer publication-title: Adv. Eng. Softw. doi: 10.1016/j.advengsoft.2013.12.007 – volume: 44 start-page: 148 year: 2019 ident: 10.1016/j.cma.2022.114616_b25 article-title: A novel nature-inspired algorithm for optimization: Squirrel search algorithm publication-title: Swarm Evol. Comput. doi: 10.1016/j.swevo.2018.02.013 – volume: 161 year: 2020 ident: 10.1016/j.cma.2022.114616_b63 article-title: Heap-based optimizer inspired by corporate rank hierarchy for global optimization publication-title: Expert Syst. Appl. doi: 10.1016/j.eswa.2020.113702 – start-page: 4661 year: 2007 ident: 10.1016/j.cma.2022.114616_b56 article-title: Imperialist competitive algorithm: an algorithm for optimization inspired by imperialistic competition – volume: 54 year: 2020 ident: 10.1016/j.cma.2022.114616_b73 article-title: A better balance in metaheuristic algorithms: Does it exist? publication-title: Swarm Evol. Comput. doi: 10.1016/j.swevo.2020.100671 – volume: 101 start-page: 646 year: 2019 ident: 10.1016/j.cma.2022.114616_b52 article-title: Henry gas solubility optimization: A novel physics-based algorithm publication-title: Future Gener. Comput. Syst. doi: 10.1016/j.future.2019.07.015 – volume: 234 year: 2020 ident: 10.1016/j.cma.2022.114616_b4 article-title: A new Newton metaheuristic algorithm for discrete performance-based design optimization of steel moment frames publication-title: Comput. Struct. doi: 10.1016/j.compstruc.2020.106250 – start-page: 1 year: 2021 ident: 10.1016/j.cma.2022.114616_b96 article-title: Advanced metaheuristic techniques for mechanical design problems publication-title: Arch. Comput. Methods Eng. – volume: 95 start-page: 51 year: 2016 ident: 10.1016/j.cma.2022.114616_b40 article-title: The whale optimization algorithm publication-title: Adv. Eng. Softw. doi: 10.1016/j.advengsoft.2016.01.008 – year: 2013 ident: 10.1016/j.cma.2022.114616_b115 – volume: 104 year: 2021 ident: 10.1016/j.cma.2022.114616_b36 article-title: QANA: Quantum-based avian navigation optimizer algorithm publication-title: Eng. Appl. Artif. Intell. doi: 10.1016/j.engappai.2021.104314 – volume: 16 start-page: 171 year: 2014 ident: 10.1016/j.cma.2022.114616_b59 article-title: League Championship Algorithm (LCA): An algorithm for global optimization inspired by sport championships publication-title: Appl. Soft Comput. doi: 10.1016/j.asoc.2013.12.005 – volume: 34 start-page: 91 year: 2018 ident: 10.1016/j.cma.2022.114616_b102 article-title: Enhanced IGMM optimization algorithm based on vibration for numerical and engineering problems publication-title: Eng. Comput. doi: 10.1007/s00366-017-0523-0 – volume: 10 start-page: 136 year: 2021 ident: 10.1016/j.cma.2022.114616_b69 article-title: B-MFO: A binary moth-flame optimization for feature selection from medical datasets publication-title: Computers doi: 10.3390/computers10110136 – volume: 85 start-page: 818 year: 2019 ident: 10.1016/j.cma.2022.114616_b94 article-title: Improved continuous Ant Colony Optimization algorithms for real-world engineering optimization problems publication-title: Eng. Appl. Artif. Intell. doi: 10.1016/j.engappai.2019.08.009 – volume: 107 start-page: 89 year: 2018 ident: 10.1016/j.cma.2022.114616_b74 article-title: Grey wolf optimizer with cellular topological structure publication-title: Expert Syst. Appl. doi: 10.1016/j.eswa.2018.04.012 – volume: 101 start-page: 646 year: 2019 ident: 10.1016/j.cma.2022.114616_b93 article-title: Henry gas solubility optimization: A novel physics-based algorithm publication-title: Future Gener. Comput. Syst. doi: 10.1016/j.future.2019.07.015 – volume: 11 start-page: 2888 year: 2011 ident: 10.1016/j.cma.2022.114616_b15 article-title: The best-so-far selection in artificial bee colony algorithm publication-title: Appl. Soft Comput. doi: 10.1016/j.asoc.2010.11.025 – start-page: 1 year: 2021 ident: 10.1016/j.cma.2022.114616_b110 article-title: Enhanced grasshopper optimization algorithm using elite opposition-based learning for solving real-world engineering problems publication-title: Eng. Comput. – volume: 1 start-page: 21 year: 2009 ident: 10.1016/j.cma.2022.114616_b114 article-title: Optimization of mechanical design problems using improved differential evolution algorithm publication-title: Int. J. Recent Trends Eng. – volume: 339 start-page: 341 year: 2018 ident: 10.1016/j.cma.2022.114616_b1 article-title: An adaptive multiscale approach for identifying multiple flaws based on XFEM and a discrete artificial fish swarm algorithm publication-title: Comput. Methods Appl. Mech. Engrg. doi: 10.1016/j.cma.2018.04.037 – volume: 158 year: 2021 ident: 10.1016/j.cma.2022.114616_b35 article-title: African vultures optimization algorithm: A new nature-inspired metaheuristic algorithm for global optimization problems publication-title: Comput. Ind. Eng. doi: 10.1016/j.cie.2021.107408 – start-page: 1 year: 2015 ident: 10.1016/j.cma.2022.114616_b23 article-title: Elephant herding optimization – volume: 217 start-page: 3166 year: 2010 ident: 10.1016/j.cma.2022.114616_b71 article-title: Gbest-guided artificial bee colony algorithm for numerical function optimization publication-title: Appl. Math. Comput. – volume: 120 start-page: 279 year: 2019 ident: 10.1016/j.cma.2022.114616_b77 article-title: Using semi-independent variables to enhance optimization search publication-title: Expert Syst. Appl. doi: 10.1016/j.eswa.2018.11.031 – year: 1982 ident: 10.1016/j.cma.2022.114616_b104 – year: 2013 ident: 10.1016/j.cma.2022.114616_b9 – volume: 20 start-page: 469 year: 2021 ident: 10.1016/j.cma.2022.114616_b64 article-title: Feature selection with binary symbiotic organisms search algorithm for email spam detection publication-title: Int. J. Inf. Technol. Decis. Mak. doi: 10.1142/S0219622020500546 – start-page: 1 year: 2013 ident: 10.1016/j.cma.2022.114616_b8 article-title: Optimization and metaheuristic algorithms in engineering publication-title: Metaheuristics Water Geotechn. Transp. Eng. – year: 2007 ident: 10.1016/j.cma.2022.114616_b89 – volume: 26 start-page: 272 year: 2004 ident: 10.1016/j.cma.2022.114616_b109 article-title: Reliability-based design optimization for crashworthiness of vehicle side impact publication-title: Struct. Multidiscip. Optim. doi: 10.1007/s00158-003-0345-0 – volume: 1 start-page: 369 year: 2013 ident: 10.1016/j.cma.2022.114616_b29 article-title: Cross flow plate fin heat exchanger entropy generation minimization using particle swarm optimization algorithm publication-title: J. Curr. Res. Sci. – volume: 114 start-page: 163 year: 2017 ident: 10.1016/j.cma.2022.114616_b41 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: 152 year: 2021 ident: 10.1016/j.cma.2022.114616_b34 article-title: Golden eagle optimizer: A nature-inspired metaheuristic algorithm publication-title: Comput. Ind. Eng. doi: 10.1016/j.cie.2020.107050 – volume: 82 start-page: 241 year: 2004 ident: 10.1016/j.cma.2022.114616_b111 article-title: A new response surface methodology for reliability-based design optimization publication-title: Comput. Struct. doi: 10.1016/j.compstruc.2003.09.002 – volume: 105 start-page: 30 year: 2017 ident: 10.1016/j.cma.2022.114616_b17 article-title: Grasshopper optimisation algorithm: theory and application publication-title: Adv. Eng. Softw. doi: 10.1016/j.advengsoft.2017.01.004 – volume: 9 start-page: 2276 year: 2021 ident: 10.1016/j.cma.2022.114616_b72 article-title: Migration-based moth–flame optimization algorithm publication-title: Processes doi: 10.3390/pr9122276 – year: 1976 ident: 10.1016/j.cma.2022.114616_b108 – volume: 28 start-page: 673 year: 2016 ident: 10.1016/j.cma.2022.114616_b31 article-title: A new bio-inspired optimisation algorithm: Bird swarm algorithm publication-title: J. Exp. Theoret. Artif. Intell. doi: 10.1080/0952813X.2015.1042530 – year: 2017 ident: 10.1016/j.cma.2022.114616_b81 – volume: 376 year: 2021 ident: 10.1016/j.cma.2022.114616_b54 article-title: The arithmetic optimization algorithm publication-title: Comput. Methods Appl. Mech. Eng. doi: 10.1016/j.cma.2020.113609 – year: 2013 ident: 10.1016/j.cma.2022.114616_b80 – volume: 89 start-page: 228 year: 2015 ident: 10.1016/j.cma.2022.114616_b16 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: 55 start-page: 2369 year: 2012 ident: 10.1016/j.cma.2022.114616_b21 article-title: Lion pride optimizer: An optimization algorithm inspired by lion pride behavior publication-title: Sci. China Inf. Sci. doi: 10.1007/s11432-012-4548-0 – volume: 39 start-page: 459 year: 2007 ident: 10.1016/j.cma.2022.114616_b14 article-title: A powerful and efficient algorithm for numerical function optimization: artificial bee colony (ABC) algorithm publication-title: J. Global Optim. doi: 10.1007/s10898-007-9149-x – year: 2002 ident: 10.1016/j.cma.2022.114616_b88 – volume: 55 start-page: 99 year: 2015 ident: 10.1016/j.cma.2022.114616_b51 article-title: A new metaheuristic for optimization: optics inspired optimization (OIO) publication-title: Comput. Operat. Res. doi: 10.1016/j.cor.2014.10.011 – start-page: 27 year: 2003 ident: 10.1016/j.cma.2022.114616_b38 – year: 2021 ident: 10.1016/j.cma.2022.114616_b26 article-title: Artificial gorilla troops optimizer: A new nature-inspired metaheuristic algorithm for global optimization problems publication-title: Int. J. Intell. Syst. – volume: 163 start-page: 283 year: 2019 ident: 10.1016/j.cma.2022.114616_b55 article-title: Atom search optimization and its application to solve a hydrogeologic parameter estimation problem publication-title: Knowledge-Based Syst. doi: 10.1016/j.knosys.2018.08.030 – year: 2009 ident: 10.1016/j.cma.2022.114616_b11 – volume: 267 start-page: 66 year: 1992 ident: 10.1016/j.cma.2022.114616_b45 article-title: Genetic algorithms publication-title: Scientific American doi: 10.1038/scientificamerican0792-66 – volume: 12 start-page: 702 year: 2008 ident: 10.1016/j.cma.2022.114616_b49 article-title: Biogeography-based optimization publication-title: IEEE Trans. Evolution. Comp. doi: 10.1109/TEVC.2008.919004 – volume: 1 start-page: 3 year: 2002 ident: 10.1016/j.cma.2022.114616_b47 article-title: Evolution strategies—a comprehensive introduction publication-title: Natural Comput. doi: 10.1023/A:1015059928466 – volume: 10 start-page: 691 year: 2014 ident: 10.1016/j.cma.2022.114616_b86 article-title: Information transfer and behavioural inertia in starling flocks publication-title: Nat. Phys. doi: 10.1038/nphys3035 – volume: 17 start-page: 4831 year: 2012 ident: 10.1016/j.cma.2022.114616_b39 article-title: Krill herd: a new bio-inspired optimization algorithm publication-title: Commun. Nonlinear Sci. Numer. Simul. doi: 10.1016/j.cnsns.2012.05.010 – year: 1994 ident: 10.1016/j.cma.2022.114616_b106 – volume: 166 year: 2021 ident: 10.1016/j.cma.2022.114616_b76 article-title: An improved grey wolf optimizer for solving engineering problems publication-title: Expert Syst. Appl. doi: 10.1016/j.eswa.2020.113917 – year: 2021 ident: 10.1016/j.cma.2022.114616_b101 article-title: A new arithmetic optimization algorithm for solving real-world multiobjective CEC-2021 constrained optimization problems: Diversity analysis and validations publication-title: IEEE Access doi: 10.1109/ACCESS.2021.3085529 – year: 1972 ident: 10.1016/j.cma.2022.114616_b112 – volume: 56 year: 2020 ident: 10.1016/j.cma.2022.114616_b82 article-title: A test-suite of non-convex constrained optimization problems from the real-world and some baseline results publication-title: Swarm Evol. Comput. doi: 10.1016/j.swevo.2020.100693 – volume: 366 year: 2020 ident: 10.1016/j.cma.2022.114616_b3 article-title: Material and shape optimization of bi-directional functionally graded plates by GIGA and an improved multi-objective particle swarm optimization algorithm publication-title: Comput. Methods Appl. Mech. Engrg. doi: 10.1016/j.cma.2020.113017 – year: 2019 ident: 10.1016/j.cma.2022.114616_b33 article-title: CCSA: Conscious neighborhood-based crow search algorithm for solving global optimization problems publication-title: Appl. Soft Comput. doi: 10.1016/j.asoc.2019.105583 – volume: 159 year: 2020 ident: 10.1016/j.cma.2022.114616_b65 article-title: Enhanced crow search algorithm for feature selection publication-title: Expert Syst. Appl. doi: 10.1016/j.eswa.2020.113572 – volume: 31 start-page: 7665 year: 2019 ident: 10.1016/j.cma.2022.114616_b91 article-title: On the exploration and exploitation in popular swarm-based metaheuristic algorithms publication-title: Neural Comput. Appl. doi: 10.1007/s00521-018-3592-0 – volume: 145 year: 2020 ident: 10.1016/j.cma.2022.114616_b20 article-title: A mayfly optimization algorithm publication-title: Comput. Ind. Eng. doi: 10.1016/j.cie.2020.106559 – volume: 108 year: 2021 ident: 10.1016/j.cma.2022.114616_b97 article-title: Solving capacitated vehicle routing problem using cooperative firefly algorithm publication-title: Appl. Soft Comput. doi: 10.1016/j.asoc.2021.107403 – volume: 17 year: 2021 ident: 10.1016/j.cma.2022.114616_b98 article-title: An intelligent social-based method for rail-car fleet sizing problem publication-title: J. Rail Transp. Plann. Manage. – volume: 68 start-page: 548 year: 2018 ident: 10.1016/j.cma.2022.114616_b60 article-title: Mine blast harmony search: A new hybrid optimization method for improving exploration and exploitation capabilities publication-title: Appl. Soft Comput. doi: 10.1016/j.asoc.2018.04.010 – volume: 33 start-page: 477 year: 2017 ident: 10.1016/j.cma.2022.114616_b100 article-title: A fast multi-objective optimization using an efficient ideal gas molecular movement algorithm publication-title: Eng. Comput. doi: 10.1007/s00366-016-0485-7 – start-page: 1 year: 2018 ident: 10.1016/j.cma.2022.114616_b68 article-title: Comparative analysis of transfer function-based binary metaheuristic algorithms for feature selection – volume: 174 start-page: 1 year: 2018 ident: 10.1016/j.cma.2022.114616_b42 article-title: A novel bio-inspired optimization model based on yellow saddle goatfish behavior publication-title: Biosystems doi: 10.1016/j.biosystems.2018.09.007 – volume: 237 start-page: 82 year: 2013 ident: 10.1016/j.cma.2022.114616_b10 article-title: A survey on optimization metaheuristics publication-title: Inform. Sci. doi: 10.1016/j.ins.2013.02.041 – volume: 185 start-page: 1155 year: 2008 ident: 10.1016/j.cma.2022.114616_b92 article-title: Ant colony optimization for continuous domains publication-title: European J. Oper. Res. doi: 10.1016/j.ejor.2006.06.046 – volume: 388 year: 2022 ident: 10.1016/j.cma.2022.114616_b37 article-title: Artificial hummingbird algorithm: A new bio-inspired optimizer with its engineering applications publication-title: Comput. Methods Appl. Mech. Engrg. doi: 10.1016/j.cma.2021.114194 – volume: 22 start-page: R112 year: 2012 ident: 10.1016/j.cma.2022.114616_b90 article-title: Murmurations publication-title: Curr. Biol. doi: 10.1016/j.cub.2011.11.033 – start-page: 196 year: 1992 ident: 10.1016/j.cma.2022.114616_b84 article-title: Individual comparisons by ranking methods – volume: 23 start-page: 715 year: 2019 ident: 10.1016/j.cma.2022.114616_b19 article-title: Butterfly optimization algorithm: a novel approach for global optimization publication-title: Soft Comput. doi: 10.1007/s00500-018-3102-4 – start-page: 134 year: 1991 ident: 10.1016/j.cma.2022.114616_b13 – volume: 10 start-page: 281 year: 2006 ident: 10.1016/j.cma.2022.114616_b30 article-title: Comprehensive learning particle swarm optimizer for global optimization of multimodal functions publication-title: IEEE Trans. Evol. Comput. doi: 10.1109/TEVC.2005.857610 – volume: 18 start-page: 3813 year: 2021 ident: 10.1016/j.cma.2022.114616_b66 article-title: An efficient binary gradient-based optimizer for feature selection publication-title: Math. Biosci. Eng. doi: 10.3934/mbe.2021192 – start-page: 1 year: 2018 ident: 10.1016/j.cma.2022.114616_b70 article-title: A novel tour planning model using big data – year: 2001 ident: 10.1016/j.cma.2022.114616_b48 – volume: 2 start-page: 199 year: 2012 ident: 10.1016/j.cma.2022.114616_b58 article-title: Anarchic society optimization based PID control of an automatic voltage regulator (AVR) system publication-title: Electr. Electron. Eng. doi: 10.5923/j.eee.20120204.05 – volume: 26 start-page: 348 year: 2001 ident: 10.1016/j.cma.2022.114616_b83 article-title: Optimisation and robustness for crashworthiness of side impact publication-title: Int. J. Veh. Des. doi: 10.1504/IJVD.2001.005210 – start-page: 39 year: 1995 ident: 10.1016/j.cma.2022.114616_b28 article-title: A new optimizer using particle swarm theory – volume: 333 start-page: 356 year: 2018 ident: 10.1016/j.cma.2022.114616_b2 article-title: Stress-based topology optimization using bi-directional evolutionary structural optimization method publication-title: Comput. Methods Appl. Mech. Engrg. doi: 10.1016/j.cma.2018.01.035 – start-page: 1470 year: 1999 ident: 10.1016/j.cma.2022.114616_b12 article-title: Ant colony optimization: a new meta-heuristic – volume: 114 start-page: 48 year: 2017 ident: 10.1016/j.cma.2022.114616_b24 article-title: Spotted hyena optimizer: a novel bio-inspired based metaheuristic technique for engineering applications publication-title: Adv. Eng. Softw. doi: 10.1016/j.advengsoft.2017.05.014 – year: 2004 ident: 10.1016/j.cma.2022.114616_b103 – volume: 21 start-page: 1349 year: 2010 ident: 10.1016/j.cma.2022.114616_b85 article-title: Self-organized aerial displays of thousands of starlings: a model publication-title: Behav. Ecol. doi: 10.1093/beheco/arq149 – volume: 166 year: 2021 ident: 10.1016/j.cma.2022.114616_b27 article-title: Red fox optimization algorithm publication-title: Expert Syst. Appl. doi: 10.1016/j.eswa.2020.114107 – volume: 97 start-page: 849 year: 2019 ident: 10.1016/j.cma.2022.114616_b32 article-title: Harris hawks optimization: Algorithm and applications publication-title: Future Gener. Comput. Syst. doi: 10.1016/j.future.2019.02.028 – ident: 10.1016/j.cma.2022.114616_b87 – volume: 80 start-page: 20 year: 2019 ident: 10.1016/j.cma.2022.114616_b43 article-title: The Sailfish Optimizer: A novel nature-inspired metaheuristic algorithm for solving constrained engineering optimization problems publication-title: Eng. Appl. Artif. Intell. doi: 10.1016/j.engappai.2019.01.001 – volume: 97 year: 2020 ident: 10.1016/j.cma.2022.114616_b95 article-title: Mtde: An effective multi-trial vector-based differential evolution algorithm and its applications for engineering design problems publication-title: Appl. Soft Comput. doi: 10.1016/j.asoc.2020.106761 – volume: 30 start-page: 413 year: 2018 ident: 10.1016/j.cma.2022.114616_b7 article-title: Grey wolf optimizer: a review of recent variants and applications publication-title: Neural Comput. Appl. doi: 10.1007/s00521-017-3272-5 – volume: 121 start-page: 147 year: 2018 ident: 10.1016/j.cma.2022.114616_b18 article-title: Pity beetle algorithm–A new metaheuristic inspired by the behavior of bark beetles publication-title: Adv. Eng. Softw. doi: 10.1016/j.advengsoft.2018.04.007 – start-page: 281 year: 2013 ident: 10.1016/j.cma.2022.114616_b79 – volume: 1 start-page: 67 year: 1997 ident: 10.1016/j.cma.2022.114616_b78 article-title: No free lunch theorems for optimization publication-title: IEEE Trans. Evol. Comput. doi: 10.1109/4235.585893 – volume: 389 year: 2021 ident: 10.1016/j.cma.2022.114616_b44 article-title: A novel metaheuristic optimizer inspired by behavior of jellyfish in ocean publication-title: Appl. Math. Comput. – volume: 41 start-page: 113 year: 2000 ident: 10.1016/j.cma.2022.114616_b105 article-title: Use of a self-adaptive penalty approach for engineering optimization problems publication-title: Comput. Ind. doi: 10.1016/S0166-3615(99)00046-9 – volume: 37 start-page: 106 year: 2006 ident: 10.1016/j.cma.2022.114616_b50 article-title: A new optimization method: big bang–big crunch publication-title: Adv. Eng. Soft. doi: 10.1016/j.advengsoft.2005.04.005 – volume: 23 start-page: 1637 year: 2021 ident: 10.1016/j.cma.2022.114616_b99 article-title: An improved moth-flame optimization algorithm with adaptation mechanism to solve numerical and mechanical engineering problems publication-title: Entropy doi: 10.3390/e23121637 – volume: 64 start-page: 161 year: 2018 ident: 10.1016/j.cma.2022.114616_b61 article-title: Volleyball premier league algorithm publication-title: Appl. Soft Comput. doi: 10.1016/j.asoc.2017.11.043 – volume: 11 start-page: 341 year: 1997 ident: 10.1016/j.cma.2022.114616_b46 article-title: Differential evolution—a simple and efficient heuristic for global optimization over continuous spaces publication-title: J. Global Optimiz. doi: 10.1023/A:1008202821328 – start-page: 583 year: 2010 ident: 10.1016/j.cma.2022.114616_b57 article-title: Social emotional optimization algorithm for nonlinear constrained optimization problems
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Snippet	This paper presents a novel bio-inspired algorithm inspired by starlings’ behaviors during their stunning murmuration named starling murmuration optimizer... This paper presents a novel bio-inspired algorithm inspired by starlings' behaviors during their stunning murmuration named starling murmuration optimizer...
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SubjectTerms	Algorithms Applied mechanics and engineering problems Bio-inspired algorithm Diving Harmonic oscillators Heuristic methods Mechanical engineering Metaheuristic algorithm Optimization Optimization algorithm Quantum computing Search methods Statistical analysis Swarm intelligence algorithm
Title	Starling murmuration optimizer: A novel bio-inspired algorithm for global and engineering optimization
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