Crayfish optimization algorithm

This paper proposes a meta heuristic optimization algorithm, called Crayfish Optimization Algorithm (COA), which simulates crayfish’s summer resort behavior, competition behavior and foraging behavior. The three behaviors are divided into three different stages to balance the exploration and exploit...

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Veröffentlicht in:	The Artificial intelligence review Jg. 56; H. Suppl 2; S. 1919 - 1979
Hauptverfasser:	Jia, Heming, Rao, Honghua, Wen, Changsheng, Mirjalili, Seyedali
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Dordrecht Springer Netherlands 01.11.2023 Springer Springer Nature B.V
Schlagworte:	Algorithms Artificial Intelligence Behavior Benchmarks Competition Computer Science Education Experiments Exploitation Food Food consumption Food intake Foraging behavior Global optimization Heuristic Hunter-gatherers Mathematical optimization Methods Optimization Optimization algorithms Original Paper Randomness Resorts Resorts & spas Source code Summer Competition stage Crayfish optimization algorithm Summer resort stage Foraging stage
ISSN:	0269-2821, 1573-7462
Online-Zugang:	Volltext
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Abstract	This paper proposes a meta heuristic optimization algorithm, called Crayfish Optimization Algorithm (COA), which simulates crayfish’s summer resort behavior, competition behavior and foraging behavior. The three behaviors are divided into three different stages to balance the exploration and exploitation of algorithm. The three stages are summer resort stage, competition stage and foraging stage. The summer resort stage represents the exploration stage of the COA. The competition stage and foraging stage represent the exploitation stage of the COA. Exploration and exploitation of COA are regulated by temperature. When the temperature is too high, crayfish will enter the cave for summer vacation or compete for the same cave. When the temperature is appropriate, crayfish have different foraging behaviors according to the size of food. Among them, the amount of food eaten by crayfish is related to food intake. Through temperature regulate exploration and exploitation process in COA, the COA has higher randomness and global optimization effect. To verify the optimization effect of COA, in the experimental part, 23 standard benchmark functions and CEC2014 benchmark functions are used to test, and 9 algorithms are selected for comparative experiments. The experimental results show that COA can balance the exploration and exploitation, and achieve good optimization effect. Finally, the COA is tested in five engineering problems, and finally achieves better results. The source code website for COA is https://github.com/rao12138/COA-s-code .
AbstractList	This paper proposes a meta heuristic optimization algorithm, called Crayfish Optimization Algorithm (COA), which simulates crayfish’s summer resort behavior, competition behavior and foraging behavior. The three behaviors are divided into three different stages to balance the exploration and exploitation of algorithm. The three stages are summer resort stage, competition stage and foraging stage. The summer resort stage represents the exploration stage of the COA. The competition stage and foraging stage represent the exploitation stage of the COA. Exploration and exploitation of COA are regulated by temperature. When the temperature is too high, crayfish will enter the cave for summer vacation or compete for the same cave. When the temperature is appropriate, crayfish have different foraging behaviors according to the size of food. Among them, the amount of food eaten by crayfish is related to food intake. Through temperature regulate exploration and exploitation process in COA, the COA has higher randomness and global optimization effect. To verify the optimization effect of COA, in the experimental part, 23 standard benchmark functions and CEC2014 benchmark functions are used to test, and 9 algorithms are selected for comparative experiments. The experimental results show that COA can balance the exploration and exploitation, and achieve good optimization effect. Finally, the COA is tested in five engineering problems, and finally achieves better results. The source code website for COA is https://github.com/rao12138/COA-s-code . This paper proposes a meta heuristic optimization algorithm, called Crayfish Optimization Algorithm (COA), which simulates crayfish's summer resort behavior, competition behavior and foraging behavior. The three behaviors are divided into three different stages to balance the exploration and exploitation of algorithm. The three stages are summer resort stage, competition stage and foraging stage. The summer resort stage represents the exploration stage of the COA. The competition stage and foraging stage represent the exploitation stage of the COA. Exploration and exploitation of COA are regulated by temperature. When the temperature is too high, crayfish will enter the cave for summer vacation or compete for the same cave. When the temperature is appropriate, crayfish have different foraging behaviors according to the size of food. Among them, the amount of food eaten by crayfish is related to food intake. Through temperature regulate exploration and exploitation process in COA, the COA has higher randomness and global optimization effect. To verify the optimization effect of COA, in the experimental part, 23 standard benchmark functions and CEC2014 benchmark functions are used to test, and 9 algorithms are selected for comparative experiments. The experimental results show that COA can balance the exploration and exploitation, and achieve good optimization effect. Finally, the COA is tested in five engineering problems, and finally achieves better results. The source code website for COA is This paper proposes a meta heuristic optimization algorithm, called Crayfish Optimization Algorithm (COA), which simulates crayfish’s summer resort behavior, competition behavior and foraging behavior. The three behaviors are divided into three different stages to balance the exploration and exploitation of algorithm. The three stages are summer resort stage, competition stage and foraging stage. The summer resort stage represents the exploration stage of the COA. The competition stage and foraging stage represent the exploitation stage of the COA. Exploration and exploitation of COA are regulated by temperature. When the temperature is too high, crayfish will enter the cave for summer vacation or compete for the same cave. When the temperature is appropriate, crayfish have different foraging behaviors according to the size of food. Among them, the amount of food eaten by crayfish is related to food intake. Through temperature regulate exploration and exploitation process in COA, the COA has higher randomness and global optimization effect. To verify the optimization effect of COA, in the experimental part, 23 standard benchmark functions and CEC2014 benchmark functions are used to test, and 9 algorithms are selected for comparative experiments. The experimental results show that COA can balance the exploration and exploitation, and achieve good optimization effect. Finally, the COA is tested in five engineering problems, and finally achieves better results. The source code website for COA is https://github.com/rao12138/COA-s-code.
Audience	Academic
Author	Rao, Honghua Wen, Changsheng Jia, Heming Mirjalili, Seyedali
Author_xml	– sequence: 1 givenname: Heming surname: Jia fullname: Jia, Heming email: jiaheming@fjsmu.edu.cn organization: School of Information Engineering, Sanming University – sequence: 2 givenname: Honghua surname: Rao fullname: Rao, Honghua organization: School of Information Engineering, Sanming University – sequence: 3 givenname: Changsheng surname: Wen fullname: Wen, Changsheng organization: School of Information Engineering, Sanming University – sequence: 4 givenname: Seyedali surname: Mirjalili fullname: Mirjalili, Seyedali organization: Centre for Artificial Intelligence Research and Optimisation, Torrens University, University Research and Innovation Center, Obuda University
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Cites_doi	10.1155/2021/9210050 10.1109/TEVC.2002.806788 10.1007/s10462-019-09732-5 10.1016/j.advengsoft.2016.01.008 10.1007/s00366-022-01604-x 10.1007/s10462-016-9471-0 10.1007/s00521-015-1920-1 10.3390/math10101696 10.1016/j.asoc.2016.02.038 10.1016/j.future.2019.02.028 10.1109/5254.846288 10.31181/dmame181221030d 10.1016/j.compstruc.2012.09.003 10.1016/j.ins.2011.08.006 10.1016/j.engappai.2006.03.003 10.1051/kmae/2014007 10.2991/ijcis.d.210309.001 10.1016/j.engappai.2019.03.021 10.1038/scientificamerican0792-66 10.1007/s10898-007-9149-x 10.1016/j.eswa.2020.113246 10.1002/int.22776 10.1287/opre.2022.2366 10.1016/j.advengsoft.2017.05.014 10.1577/03632415.2011.10389069 10.1016/j.knosys.2015.12.022 10.1016/j.ins.2012.08.023 10.1016/j.eswa.2020.113338 10.3837/tiis.2022.04.003 10.1111/j.1749-7345.2001.tb00920.x 10.1016/0166-218X(94)90003-5 10.1016/j.asoc.2015.08.052 10.1016/S1095-6433(03)00203-4 10.1016/j.eswa.2021.115665 10.1016/j.advengsoft.2017.03.014 10.31181/dmame04092023m 10.3390/math10193604 10.1007/s00521-022-07530-9 10.1177/003754970107600201 10.1007/978-3-319-03404-1_15 10.1093/jcbiol/ruz075 10.1016/j.knosys.2018.11.024 10.2307/2425310 10.1007/s40747-016-0022-8 10.1016/j.eswa.2021.116158 10.1016/j.jembe.2006.06.006 10.1016/j.knosys.2022.108457 10.1126/science.221.4612.779 10.1016/j.cma.2020.113609 10.1287/opre.50.1.42.17798 10.1016/j.disopt.2022.100743 10.1016/j.asoc.2017.10.013 10.1007/s00521-015-1870-7 10.1016/j.future.2019.07.015 10.31181/dmame0318062022m 10.1016/j.advengsoft.2015.01.010 10.1023/A:1015059928466 10.1007/s10462-020-09952-0 10.1093/jcde/qwac131 10.1109/4235.585893 10.1007/s00366-011-0241-y 10.1016/j.cie.2021.107250 10.3934/mbe.2021236 10.3390/math10224350 10.1093/jcbiol/rux070 10.1016/j.engappai.2022.105075 10.1016/j.asoc.2015.06 10.1016/j.ins.2009.03.004 10.1016/j.knosys.2022.108320 10.1016/j.eswa.2022.117629 10.1023/A:1008202821328 10.1016/j.asoc.2019.106018 10.1016/j.swevo.2015.07.002 10.1016/j.matcom.2021.08.013 10.1155/2022/4673665 10.1126/science.220.4598.671 10.1093/jcbiol/ruac002 10.1109/MCI.2006.329691 10.3390/math10203765 10.1002/(SICI)1097-0207(19960315)39:5<829::AID-NME884>3.0.CO;2-U 10.1016/j.engappai.2019.103249 10.3390/math10071014 10.1109/ICNN.1995.488968
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References	Chickermane, M. I. A. N, Gea (CR17) 1996; 39 Holland (CR41) 1992; 267 Gautier, Granot (CR31) 1994; 55 Rashedi, Nezamabadi - Pour, Saryazdi (CR71) 2009; 179 Babalik, Cinar, Kiran (CR7) 2018; 63 Gandomi, Yang, Alavi (CR30) 2013; 29 Hatamlou (CR34) 2013; 222 Karaboga, Basturk (CR48) 2007; 39 Mzili, Riffi, Mzili, Dhiman (CR64) 2022; 5 Rao, Jia, Wu, Wen, Li, Liu, Abualigah (CR69) 2022; 10 Wen, Jia, Wu, Rao, Li, Liu, Abualigah (CR78) 2022; 10 Precup, David, Roman, Petriu, Szedlak - Stinean (CR67) 2021; 14 Kamboj, Nandi, Bhadoria, Sehgal (CR47) 2020; 89 Liu, Li, Jia, Qi, Abualigah (CR56) 2022; 10 Alsattar, Zaidan, Zaidan (CR6) 2020; 53 Ezugwu, Agushaka, Abualigah, Mirjalili, Gandomi (CR26) 2022; 34 Storn, Price (CR76) 1997; 11 García - Guerrero, Hernández - Sandoval, Orduña - Rojas, Cortés - Jacinto (CR29) 2013; 23 Dhiman, Kumar (CR22) 2017; 114 Jia, Zhang, Zheng, Wang, Leng, Cao (CR44) 2022; 37 Mirjalili (CR60) 2016; 27 Graham, Stubbs, Loughman (CR33) 2022; 42 Rao, Savsani, Vakharia (CR70) 2012; 183 Das, Roy, Maity, Kar, Sengupta (CR21) 2022; 5 Dhiman, Kaur (CR23) 2019; 82 Jia, Peng, Lang (CR45) 2021; 185 Crandall, De Grave (CR18) 2017; 37 Kaveh, Dadras (CR49) 2017; 110 Cheng, Qin, Chen, Shi (CR16) 2016; 46 Xie, Han, Zhou, Zhang, Han, Tang (CR81) 2021; 2021 Banzhaf, Koza, Ryan, Spector, Jacob (CR8) 2000; 15 Abualigah, Abd Elaziz, Sumari, Geem, Gandomi (CR2) 2022; 191 Ma, Huang, Fan, Wei, Du, Gao (CR57) 2022; 205 Xing, Gao, Xing, Gao, Kacprzyk, Jain (CR82) 2014 Wu, Rao, Wen, Jia, Liu, Abualigah (CR80) 2022; 10 Ezugwu, Shukla, Nath, Akinyelu, Agushaka, Chiroma, Muhuri (CR27) 2021; 54 Chen, Chen, Zhang (CR15) 2022; 46 Florey, Moore (CR28) 2019; 39 Kirkpatrick, Gelatt, Vecchi (CR52) 1983; 220 Ma, Hu, Lu, Liu (CR58) 2023; 10 Allan, Froneman, Hodgson (CR5) 2006; 337 Dorigo, Birattari, Stutzle (CR25) 2006; 1 Bellman, Krasne (CR11) 1983; 221 Qi, Zhang, Jia, Xing (CR68) 2021; 18 Baykasoğlu, Akpinar (CR9) 2015; 37 Heidari, Mirjalili, Faris, Aljarah, Mafarja, Chen (CR40) 2019; 97 Abualigah, Diabat, Mirjalili, Abd Elaziz, Gandomi (CR3) 2021; 376 Larson, Olden (CR55) 2011; 36 Abedinpourshotorban, Shamsuddin, Beheshti, Jawawi (CR1) 2016; 26 Mirjalili, Lewis (CR62) 2016; 95 Jia, Sun, Li, Cao (CR43) 2022; 16 Mirjalili (CR61) 2016; 96 Abualigah, Yousri, Abd Elaziz, Ewees, Al - Qaness, Gandomi (CR4) 2021; 157 CR51 Kaveh, Khayatazad (CR50) 2012; 112 Zhang, Jin (CR83) 2020; 148 Zhao, Zhang, Ma, Chen (CR84) 2022; 114 Seyyedabbasi, Kiani (CR73) 2022 Baykasoğlu, Ozsoydan (CR10) 2015; 36 Wang, Hussien, Jia, Abualigah, Zheng (CR77) 2022; 10 Jaderyan, Khotanlou (CR42) 2016; 43 Dantzig (CR19) 2002; 50 Jones, Ruscoe (CR46) 2001; 32 Satapathy, Naik (CR72) 2016; 2 Kouba, Petrusek, Kozák (CR54) 2014 Mzili, Mzili, Riffi (CR65) 2023; 6 Hashim, Hussien (CR35) 2022; 242 Hayyolalam, Kazem (CR38) 2020; 87 Song, Jia, Abualigah, Liu, Lin, Wu, Altalhi (CR75) 2022 Sinha, Chakrabarti, Chattopadhyay (CR74) 2003; 7 Beyer, Schwefel (CR13) 2002; 1 Mirjalili (CR59) 2015; 83 Dhiman, Kumar (CR24) 2019; 165 Daryalal, Bodur, Luedtke (CR20) 2022 Geem, Kim, Loganathan (CR32) 2001; 76 Wolpert, Macready (CR79) 1997; 1 Hashim, Houssein, Mabrouk, Al - Atabany, Mirjalili (CR36) 2019; 101 Braik, Hammouri, Atwan, Al - Betar, Awadallah (CR14) 2022; 243 Payette, McGaw (CR66) 2003; 136 Mirjalili, Mirjalili, Hatamlou (CR63) 2016; 27 Hashim, Houssein, Hussain, Mabrouk, Al - Atabany (CR37) 2022; 192 He, Wang (CR39) 2007; 20 Berrill, Chenoweth (CR12) 1982 Khishe, Mosavi (CR53) 2020; 149 KL Bellman (10567_CR11) 1983; 221 EL Allan (10567_CR5) 2006; 337 W Banzhaf (10567_CR8) 2000; 15 HG Beyer (10567_CR13) 2002; 1 AA Heidari (10567_CR40) 2019; 97 G Dhiman (10567_CR24) 2019; 165 H Rao (10567_CR69) 2022; 10 A Baykasoğlu (10567_CR9) 2015; 37 AE Ezugwu (10567_CR26) 2022; 34 H Abedinpourshotorban (10567_CR1) 2016; 26 S Mirjalili (10567_CR60) 2016; 27 S Wang (10567_CR77) 2022; 10 10567_CR51 C Wen (10567_CR78) 2022; 10 A Gautier (10567_CR31) 1994; 55 B Xing (10567_CR82) 2014 M García - Guerrero (10567_CR29) 2013; 23 VK Kamboj (10567_CR47) 2020; 89 S Satapathy (10567_CR72) 2016; 2 A Kaveh (10567_CR50) 2012; 112 E Rashedi (10567_CR71) 2009; 179 M Daryalal (10567_CR20) 2022 FA Hashim (10567_CR36) 2019; 101 ZW Geem (10567_CR32) 2001; 76 L Abualigah (10567_CR2) 2022; 191 C Ma (10567_CR57) 2022; 205 Q He (10567_CR39) 2007; 20 FA Hashim (10567_CR35) 2022; 242 D Karaboga (10567_CR48) 2007; 39 A Baykasoğlu (10567_CR10) 2015; 36 FA Hashim (10567_CR37) 2022; 192 ZA Graham (10567_CR33) 2022; 42 H Chen (10567_CR15) 2022; 46 G Dhiman (10567_CR23) 2019; 82 S Zhao (10567_CR84) 2022; 114 JH Holland (10567_CR41) 1992; 267 CL Florey (10567_CR28) 2019; 39 D Wu (10567_CR80) 2022; 10 GB Dantzig (10567_CR19) 2002; 50 AE Ezugwu (10567_CR27) 2021; 54 L Abualigah (10567_CR3) 2021; 376 S Mirjalili (10567_CR62) 2016; 95 A Hatamlou (10567_CR34) 2013; 222 B Ma (10567_CR58) 2023; 10 A Kaveh (10567_CR49) 2017; 110 T Mzili (10567_CR64) 2022; 5 M Song (10567_CR75) 2022 H Jia (10567_CR45) 2021; 185 RE Precup (10567_CR67) 2021; 14 A Babalik (10567_CR7) 2018; 63 M Jaderyan (10567_CR42) 2016; 43 G Dhiman (10567_CR22) 2017; 114 A Kouba (10567_CR54) 2014 M Braik (10567_CR14) 2022; 243 N Sinha (10567_CR74) 2003; 7 DH Wolpert (10567_CR79) 1997; 1 A Seyyedabbasi (10567_CR73) 2022 M Khishe (10567_CR53) 2020; 149 S Mirjalili (10567_CR61) 2016; 96 I Mzili (10567_CR65) 2023; 6 Y Zhang (10567_CR83) 2020; 148 CM Jones (10567_CR46) 2001; 32 R Storn (10567_CR76) 1997; 11 L Xie (10567_CR81) 2021; 2021 H Jia (10567_CR44) 2022; 37 ER Larson (10567_CR55) 2011; 36 V Hayyolalam (10567_CR38) 2020; 87 S Mirjalili (10567_CR63) 2016; 27 S Cheng (10567_CR16) 2016; 46 AL Payette (10567_CR66) 2003; 136 HE Chickermane (10567_CR17) 1996; 39 L Abualigah (10567_CR4) 2021; 157 M Berrill (10567_CR12) 1982 KA Crandall (10567_CR18) 2017; 37 M Das (10567_CR21) 2022; 5 AH Gandomi (10567_CR30) 2013; 29 H Jia (10567_CR43) 2022; 16 S Mirjalili (10567_CR59) 2015; 83 S Kirkpatrick (10567_CR52) 1983; 220 HA Alsattar (10567_CR6) 2020; 53 RV Rao (10567_CR70) 2012; 183 Q Liu (10567_CR56) 2022; 10 H Qi (10567_CR68) 2021; 18 M Dorigo (10567_CR25) 2006; 1
References_xml	– volume: 2021 start-page: 1 year: 2021 end-page: 22 ident: CR81 article-title: Tuna swarm optimization: a novel swarm - based metaheuristic algorithm for global optimization publication-title: Comput Intell Neurosci doi: 10.1155/2021/9210050 – volume: 7 start-page: 83 issue: 1 year: 2003 end-page: 94 ident: CR74 article-title: Evolutionary programming techniques for economic load dispatch publication-title: IEEE Trans Evol Comput doi: 10.1109/TEVC.2002.806788 – volume: 53 start-page: 2237 year: 2020 end-page: 2264 ident: CR6 article-title: Novel meta - heuristic bald eagle search optimisation algorithm publication-title: Artif Intell Rev doi: 10.1007/s10462-019-09732-5 – volume: 95 start-page: 51 year: 2016 end-page: 67 ident: CR62 article-title: The whale optimization algorithm publication-title: Adv Eng Softw doi: 10.1016/j.advengsoft.2016.01.008 – year: 2022 ident: CR73 article-title: Sand cat swarm optimization: a nature - inspired algorithm to solve global optimization problems publication-title: Eng With Comput doi: 10.1007/s00366-022-01604-x – volume: 46 start-page: 445 year: 2016 end-page: 458 ident: CR16 article-title: Brain storm optimization algorithm: a review publication-title: Artif Intell Rev doi: 10.1007/s10462-016-9471-0 – volume: 27 start-page: 1053 year: 2016 end-page: 1073 ident: CR60 article-title: Dragonfly algorithm: a new meta - heuristic optimization technique for solving single - objective, discrete, and multi - objective problems publication-title: Neural Comput Appl doi: 10.1007/s00521-015-1920-1 – volume: 10 start-page: 1696 issue: 10 year: 2022 ident: CR77 article-title: Enhanced remora optimization algorithm for solving constrained engineering optimization problems publication-title: Mathematics doi: 10.3390/math10101696 – volume: 43 start-page: 596 year: 2016 end-page: 618 ident: CR42 article-title: Virulence optimization algorithm publication-title: Appl Soft Comput doi: 10.1016/j.asoc.2016.02.038 – volume: 97 start-page: 849 year: 2019 end-page: 872 ident: CR40 article-title: Harris hawks optimization: algorithm and applications publication-title: Future Gener Computer Syst doi: 10.1016/j.future.2019.02.028 – ident: CR51 – volume: 15 start-page: 74 issue: 3 year: 2000 end-page: 84 ident: CR8 article-title: Genetic programming publication-title: IEEE Intell Syst their Appl doi: 10.1109/5254.846288 – volume: 5 start-page: 329 issue: 2 year: 2022 end-page: 361 ident: CR21 article-title: Solving fuzzy dynamic ship routing and scheduling problem through new genetic algorithm publication-title: Decis Making: Appl Manage Eng doi: 10.31181/dmame181221030d – volume: 112 start-page: 283 year: 2012 end-page: 294 ident: CR50 article-title: A new meta - heuristic method: ray optimization publication-title: Comput Struct doi: 10.1016/j.compstruc.2012.09.003 – volume: 183 start-page: 1 issue: 1 year: 2012 end-page: 15 ident: CR70 article-title: Teaching–learning - based optimization: an optimization method for continuous non - linear large scale problems publication-title: Inf Sci doi: 10.1016/j.ins.2011.08.006 – volume: 20 start-page: 89 issue: 1 year: 2007 end-page: 99 ident: CR39 article-title: An effective co - evolutionary particle swarm optimization for constrained engineering design problems publication-title: Eng Appl Artif Intell doi: 10.1016/j.engappai.2006.03.003 – year: 2014 ident: CR54 article-title: Continental - wide distribution of crayfish species in Europe: update and maps publication-title: Knowl Manage Aquat Ecosyst doi: 10.1051/kmae/2014007 – volume: 14 start-page: 1042 issue: 1 year: 2021 end-page: 1052 ident: CR67 article-title: Slime mould algorithm - based tuning of cost - effective fuzzy controllers for servo systems publication-title: Int J Comput Intell Syst doi: 10.2991/ijcis.d.210309.001 – volume: 82 start-page: 148 year: 2019 end-page: 174 ident: CR23 article-title: STOA: a bio - inspired based optimization algorithm for industrial engineering problems publication-title: Eng Appl Artif Intell doi: 10.1016/j.engappai.2019.03.021 – volume: 267 start-page: 66 issue: 1 year: 1992 end-page: 73 ident: CR41 article-title: Genetic algorithms publication-title: Sci Am doi: 10.1038/scientificamerican0792-66 – volume: 39 start-page: 459 year: 2007 end-page: 471 ident: CR48 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 – volume: 148 start-page: 113246 year: 2020 ident: CR83 article-title: Group teaching optimization algorithm: A novel metaheuristic method for solving global optimization problems publication-title: Expert Syst Appl doi: 10.1016/j.eswa.2020.113246 – volume: 37 start-page: 2335 issue: 3 year: 2022 end-page: 2370 ident: CR44 article-title: Ensemble mutation slime mould algorithm with restart mechanism for feature selection publication-title: Int J Intell Syst doi: 10.1002/int.22776 – year: 2022 ident: CR20 article-title: Lagrangian dual decision rules for multistage stochastic mixed-integer programming publication-title: Operations Res doi: 10.1287/opre.2022.2366 – volume: 114 start-page: 48 year: 2017 end-page: 70 ident: CR22 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 – volume: 36 start-page: 60 issue: 2 year: 2011 end-page: 73 ident: CR55 article-title: The state of crayfish in the Pacific Northwest publication-title: Fisheries doi: 10.1577/03632415.2011.10389069 – volume: 96 start-page: 120 year: 2016 end-page: 133 ident: CR61 article-title: SCA: a sine cosine algorithm for solving optimization problems publication-title: Knowl Based Syst doi: 10.1016/j.knosys.2015.12.022 – volume: 222 start-page: 175 year: 2013 end-page: 184 ident: CR34 article-title: Black hole: A new heuristic optimization approach for data clustering publication-title: Inf Sci doi: 10.1016/j.ins.2012.08.023 – volume: 149 start-page: 113338 year: 2020 ident: CR53 article-title: Chimp optimization algorithm publication-title: Expert Syst Appl doi: 10.1016/j.eswa.2020.113338 – volume: 16 start-page: 1128 issue: 4 year: 2022 end-page: 1145 ident: CR43 article-title: Improved marine predators algorithm for feature selection and SVM optimization publication-title: KSII Trans Internet Inform Syst (TIIS) doi: 10.3837/tiis.2022.04.003 – volume: 32 start-page: 41 issue: 1 year: 2001 end-page: 52 ident: CR46 article-title: Assessment of five shelter types in the production of redclaw crayfish Cherax quadricarinatus (Decapoda: Parastacidae) under earthen pond conditions publication-title: J World Aquaculture Soc doi: 10.1111/j.1749-7345.2001.tb00920.x – volume: 55 start-page: 113 issue: 2 year: 1994 end-page: 132 ident: CR31 article-title: On the equivalence of constrained and unconstrained flows publication-title: Discrete Appl Math doi: 10.1016/0166-218X(94)90003-5 – volume: 37 start-page: 396 year: 2015 end-page: 415 ident: CR9 article-title: Weighted Superposition Attraction (WSA): A swarm intelligence algorithm for optimization problems–Part 2: Constrained optimization publication-title: Appl Soft Comput doi: 10.1016/j.asoc.2015.08.052 – volume: 136 start-page: 539 issue: 3 year: 2003 end-page: 556 ident: CR66 article-title: Thermoregulatory behavior of the crayfish Procambarus clarki in a burrow environment publication-title: Comp Biochem Physiol A: Mol Integr Physiol doi: 10.1016/S1095-6433(03)00203-4 – volume: 185 start-page: 115665 year: 2021 ident: CR45 article-title: Remora optimization algorithm publication-title: Expert Syst Appl doi: 10.1016/j.eswa.2021.115665 – volume: 110 start-page: 69 year: 2017 end-page: 84 ident: CR49 article-title: A novel meta - heuristic optimization algorithm: thermal exchange optimization publication-title: Adv Eng Softw doi: 10.1016/j.advengsoft.2017.03.014 – volume: 6 start-page: 730 issue: 1 year: 2023 end-page: 743 ident: CR65 article-title: Efficient routing optimization with discrete penguins search algorithm for MTSP publication-title: Decis Making: Appl Manage Eng doi: 10.31181/dmame04092023m – volume: 10 start-page: 3604 issue: 19 year: 2022 ident: CR78 article-title: Modified remora optimization algorithm with multistrategies for global optimization problem publication-title: Mathematics doi: 10.3390/math10193604 – volume: 34 start-page: 20017 issue: 22 year: 2022 end-page: 20065 ident: CR26 article-title: Prairie dog optimization algorithm publication-title: Neural Comput Appl doi: 10.1007/s00521-022-07530-9 – volume: 76 start-page: 60 issue: 2 year: 2001 end-page: 68 ident: CR32 article-title: A new heuristic optimization algorithm: harmony search publication-title: simulation doi: 10.1177/003754970107600201 – year: 2014 ident: CR82 article-title: Imperialist competitive algorithm publication-title: Innovative computational intelligence: a rough guide to 134 clever algorithms doi: 10.1007/978-3-319-03404-1_15 – volume: 39 start-page: 711 issue: 6 year: 2019 end-page: 719 ident: CR28 article-title: Analysis and description of burrow structure in four species of freshwater crayfishes (Decapoda: Astacoidea: Cambaridae) using photogrammetry to recreate casts as 3D models publication-title: J Crustacean Biology doi: 10.1093/jcbiol/ruz075 – volume: 165 start-page: 169 year: 2019 end-page: 196 ident: CR24 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 – year: 1982 ident: CR12 article-title: The burrowing ability of nonburrowing crayfish publication-title: Am Midl Nat doi: 10.2307/2425310 – volume: 2 start-page: 173 issue: 3 year: 2016 end-page: 203 ident: CR72 article-title: Social group optimization (SGO): a new population evolutionary optimization technique publication-title: Complex & Intell Syst doi: 10.1007/s40747-016-0022-8 – volume: 191 start-page: 116158 year: 2022 ident: CR2 article-title: Reptile Search Algorithm (RSA): A nature - inspired meta - heuristic optimizer publication-title: Expert Syst Appl doi: 10.1016/j.eswa.2021.116158 – volume: 337 start-page: 103 issue: 1 year: 2006 end-page: 108 ident: CR5 article-title: Effects of temperature and salinity on the standard metabolic rate (SMR) of the caridean shrimp Palaemon peringueyi publication-title: J Exp Mar Biol Ecol doi: 10.1016/j.jembe.2006.06.006 – volume: 243 start-page: 108457 year: 2022 ident: CR14 article-title: White Shark Optimizer: A novel bio - inspired meta - heuristic algorithm for global optimization problems publication-title: Knowl Based Syst doi: 10.1016/j.knosys.2022.108457 – volume: 221 start-page: 779 issue: 4612 year: 1983 end-page: 781 ident: CR11 article-title: Adaptive complexity of interactions between feeding and escape in crayfish publication-title: Science doi: 10.1126/science.221.4612.779 – volume: 376 start-page: 113609 year: 2021 ident: CR3 article-title: The arithmetic optimization algorithm publication-title: Comput Methods Appl Mech Eng doi: 10.1016/j.cma.2020.113609 – volume: 50 start-page: 42 issue: 1 year: 2002 end-page: 47 ident: CR19 article-title: Linear programming publication-title: Oper Res doi: 10.1287/opre.50.1.42.17798 – volume: 46 start-page: 100743 year: 2022 ident: CR15 article-title: Block - structured integer programming: Can we parameterize without the largest coefficient? publication-title: Discrete Optim doi: 10.1016/j.disopt.2022.100743 – volume: 63 start-page: 289 year: 2018 end-page: 305 ident: CR7 article-title: A modification of tree - seed algorithm using Deb’s rules for constrained optimization publication-title: Appl Soft Comput doi: 10.1016/j.asoc.2017.10.013 – volume: 27 start-page: 495 year: 2016 end-page: 513 ident: CR63 article-title: Multi - verse optimizer: a nature - inspired algorithm for global optimization publication-title: Neural Comput Appl doi: 10.1007/s00521-015-1870-7 – volume: 101 start-page: 646 year: 2019 end-page: 667 ident: CR36 article-title: Henry gas solubility optimization: a novel physics - based algorithm publication-title: Future Gener Computer Syst doi: 10.1016/j.future.2019.07.015 – volume: 5 start-page: 287 issue: 2 year: 2022 end-page: 299 ident: CR64 article-title: A novel discrete Rat swarm optimization (DRSO) algorithm for solving the traveling salesman problem publication-title: Decis making: Appl Manage Eng doi: 10.31181/dmame0318062022m – volume: 83 start-page: 80 year: 2015 end-page: 98 ident: CR59 article-title: The ant lion optimizer publication-title: Adv Eng Softw doi: 10.1016/j.advengsoft.2015.01.010 – volume: 1 start-page: 3 year: 2002 end-page: 52 ident: CR13 article-title: Evolution strategies–a comprehensive introduction publication-title: Nat Comput doi: 10.1023/A:1015059928466 – volume: 54 start-page: 4237 year: 2021 end-page: 4316 ident: CR27 article-title: Metaheuristics: a comprehensive overview and classification along with bibliometric analysis publication-title: Artif Intell Rev doi: 10.1007/s10462-020-09952-0 – volume: 10 start-page: 65 issue: 1 year: 2023 end-page: 107 ident: CR58 article-title: Running City game optimizer: A game - based metaheuristic optimization algorithm for global optimization publication-title: J Comput Des Eng doi: 10.1093/jcde/qwac131 – volume: 23 start-page: 73 issue: 1 year: 2013 end-page: 81 ident: CR29 article-title: Effect of temperature on weight increase, survival, and thermal preference of juvenile redclaw crayfish Cherax quadricarinatus publication-title: Hidrobiológica – volume: 1 start-page: 67 issue: 1 year: 1997 end-page: 82 ident: CR79 article-title: No free lunch theorems for optimization publication-title: IEEE Trans Evol Comput doi: 10.1109/4235.585893 – volume: 29 start-page: 17 year: 2013 end-page: 35 ident: CR30 article-title: Cuckoo search algorithm: a metaheuristic approach to solve structural optimization problems publication-title: Eng With Comput doi: 10.1007/s00366-011-0241-y – volume: 157 start-page: 107250 year: 2021 ident: CR4 article-title: Aquila optimizer: a novel meta - heuristic optimization algorithm publication-title: Comput Ind Eng doi: 10.1016/j.cie.2021.107250 – volume: 18 start-page: 4648 year: 2021 end-page: 4678 ident: CR68 article-title: A hybrid equilibrium optimizer algorithm for multi - level image segmentation publication-title: Math Biosci Eng doi: 10.3934/mbe.2021236 – volume: 10 start-page: 4350 issue: 22 year: 2022 ident: CR80 article-title: Modified Sand Cat Swarm Optimization Algorithm for Solving Constrained Engineering Optimization Problems publication-title: Mathematics doi: 10.3390/math10224350 – volume: 37 start-page: 615 issue: 5 year: 2017 end-page: 653 ident: CR18 article-title: An updated classification of the freshwater crayfishes (Decapoda: Astacidea) of the world, with a complete species list publication-title: J Crustac Biol doi: 10.1093/jcbiol/rux070 – volume: 114 start-page: 105075 year: 2022 ident: CR84 article-title: Dandelion Optimizer: A nature - inspired metaheuristic algorithm for engineering applications publication-title: Eng Appl Artif Intell doi: 10.1016/j.engappai.2022.105075 – volume: 36 start-page: 152 year: 2015 end-page: 164 ident: CR10 article-title: Adaptive firefly algorithm with chaos for mechanical design optimization problems publication-title: Appl Soft Comput doi: 10.1016/j.asoc.2015.06 – volume: 179 start-page: 2232 issue: 13 year: 2009 end-page: 2248 ident: CR71 article-title: GSA: a gravitational search algorithm publication-title: Inf Sci doi: 10.1016/j.ins.2009.03.004 – volume: 242 start-page: 108320 year: 2022 ident: CR35 article-title: Snake Optimizer: A novel meta - heuristic optimization algorithm publication-title: Knowl Based Syst doi: 10.1016/j.knosys.2022.108320 – volume: 205 start-page: 117629 year: 2022 ident: CR57 article-title: Grey wolf optimizer based on Aquila exploration method publication-title: Expert Syst Appl doi: 10.1016/j.eswa.2022.117629 – volume: 11 start-page: 341 issue: 4 year: 1997 ident: CR76 article-title: Differential evolution - a simple and efficient heuristic for global optimization over continuous spaces publication-title: J Global Optim doi: 10.1023/A:1008202821328 – volume: 89 start-page: 106018 year: 2020 ident: CR47 article-title: An intensify Harris Hawks optimizer for numerical and engineering optimization problems publication-title: Appl Soft Comput doi: 10.1016/j.asoc.2019.106018 – volume: 26 start-page: 8 year: 2016 end-page: 22 ident: CR1 article-title: Electromagnetic field optimization: a physics - inspired metaheuristic optimization algorithm publication-title: Swarm Evol Comput doi: 10.1016/j.swevo.2015.07.002 – volume: 192 start-page: 84 year: 2022 end-page: 110 ident: CR37 article-title: Honey Badger Algorithm: New metaheuristic algorithm for solving optimization problems publication-title: Math Comput Simul doi: 10.1016/j.matcom.2021.08.013 – year: 2022 ident: CR75 article-title: Modified harris hawks optimization algorithm with exploration factor and random walk strategy publication-title: Comput Intell Neurosci doi: 10.1155/2022/4673665 – volume: 220 start-page: 671 issue: 4598 year: 1983 end-page: 680 ident: CR52 article-title: Optimization by simulated annealing publication-title: Science doi: 10.1126/science.220.4598.671 – volume: 42 start-page: ruac002 issue: 1 year: 2022 ident: CR33 article-title: Digging ability and digging performance in a hyporheic gravel - dwelling crayfish, the hairy crayfish Cambarus friaufi (Hobbs 1953)( : : ) publication-title: J Crustac Biol doi: 10.1093/jcbiol/ruac002 – volume: 1 start-page: 28 issue: 4 year: 2006 end-page: 39 ident: CR25 article-title: Ant colony optimization publication-title: IEEE Comput Intell Mag doi: 10.1109/MCI.2006.329691 – volume: 10 start-page: 3765 issue: 20 year: 2022 ident: CR69 article-title: A Modified Group Teaching Optimization Algorithm for Solving Constrained Engineering Optimization Problems publication-title: Mathematics doi: 10.3390/math10203765 – volume: 39 start-page: 829 issue: 5 year: 1996 end-page: 846 ident: CR17 article-title: Structural optimization using a new local approximation method publication-title: Int J Numer Methods Eng doi: 10.1002/(SICI)1097-0207(19960315)39:5<829::AID-NME884>3.0.CO;2-U – volume: 87 start-page: 103249 year: 2020 ident: CR38 article-title: Black widow optimization algorithm: a novel meta - heuristic approach for solving engineering optimization problems publication-title: Eng Appl Artif Intell doi: 10.1016/j.engappai.2019.103249 – volume: 10 start-page: 1014 issue: 7 year: 2022 ident: CR56 article-title: Modified remora optimization algorithm for global optimization and multilevel thresholding image segmentation publication-title: Mathematics doi: 10.3390/math10071014 – volume: 6 start-page: 730 issue: 1 year: 2023 ident: 10567_CR65 publication-title: Decis Making: Appl Manage Eng doi: 10.31181/dmame04092023m – volume: 1 start-page: 67 issue: 1 year: 1997 ident: 10567_CR79 publication-title: IEEE Trans Evol Comput doi: 10.1109/4235.585893 – volume: 179 start-page: 2232 issue: 13 year: 2009 ident: 10567_CR71 publication-title: Inf Sci doi: 10.1016/j.ins.2009.03.004 – volume: 46 start-page: 445 year: 2016 ident: 10567_CR16 publication-title: Artif Intell Rev doi: 10.1007/s10462-016-9471-0 – volume: 55 start-page: 113 issue: 2 year: 1994 ident: 10567_CR31 publication-title: Discrete Appl Math doi: 10.1016/0166-218X(94)90003-5 – volume: 165 start-page: 169 year: 2019 ident: 10567_CR24 publication-title: Knowl Based Syst doi: 10.1016/j.knosys.2018.11.024 – volume: 376 start-page: 113609 year: 2021 ident: 10567_CR3 publication-title: Comput Methods Appl Mech Eng doi: 10.1016/j.cma.2020.113609 – volume: 36 start-page: 152 year: 2015 ident: 10567_CR10 publication-title: Appl Soft Comput doi: 10.1016/j.asoc.2015.06 – volume: 32 start-page: 41 issue: 1 year: 2001 ident: 10567_CR46 publication-title: J World Aquaculture Soc doi: 10.1111/j.1749-7345.2001.tb00920.x – volume: 192 start-page: 84 year: 2022 ident: 10567_CR37 publication-title: Math Comput Simul doi: 10.1016/j.matcom.2021.08.013 – volume: 50 start-page: 42 issue: 1 year: 2002 ident: 10567_CR19 publication-title: Oper Res doi: 10.1287/opre.50.1.42.17798 – volume: 337 start-page: 103 issue: 1 year: 2006 ident: 10567_CR5 publication-title: J Exp Mar Biol Ecol doi: 10.1016/j.jembe.2006.06.006 – volume: 2 start-page: 173 issue: 3 year: 2016 ident: 10567_CR72 publication-title: Complex & Intell Syst doi: 10.1007/s40747-016-0022-8 – volume: 191 start-page: 116158 year: 2022 ident: 10567_CR2 publication-title: Expert Syst Appl doi: 10.1016/j.eswa.2021.116158 – volume: 221 start-page: 779 issue: 4612 year: 1983 ident: 10567_CR11 publication-title: Science doi: 10.1126/science.221.4612.779 – volume: 14 start-page: 1042 issue: 1 year: 2021 ident: 10567_CR67 publication-title: Int J Comput Intell Syst doi: 10.2991/ijcis.d.210309.001 – volume: 220 start-page: 671 issue: 4598 year: 1983 ident: 10567_CR52 publication-title: Science doi: 10.1126/science.220.4598.671 – volume: 157 start-page: 107250 year: 2021 ident: 10567_CR4 publication-title: Comput Ind Eng doi: 10.1016/j.cie.2021.107250 – volume: 54 start-page: 4237 year: 2021 ident: 10567_CR27 publication-title: Artif Intell Rev doi: 10.1007/s10462-020-09952-0 – volume: 101 start-page: 646 year: 2019 ident: 10567_CR36 publication-title: Future Gener Computer Syst doi: 10.1016/j.future.2019.07.015 – volume: 27 start-page: 495 year: 2016 ident: 10567_CR63 publication-title: Neural Comput Appl doi: 10.1007/s00521-015-1870-7 – volume: 39 start-page: 711 issue: 6 year: 2019 ident: 10567_CR28 publication-title: J Crustacean Biology doi: 10.1093/jcbiol/ruz075 – volume: 5 start-page: 329 issue: 2 year: 2022 ident: 10567_CR21 publication-title: Decis Making: Appl Manage Eng doi: 10.31181/dmame181221030d – volume: 34 start-page: 20017 issue: 22 year: 2022 ident: 10567_CR26 publication-title: Neural Comput Appl doi: 10.1007/s00521-022-07530-9 – volume: 10 start-page: 1014 issue: 7 year: 2022 ident: 10567_CR56 publication-title: Mathematics doi: 10.3390/math10071014 – volume: 2021 start-page: 1 year: 2021 ident: 10567_CR81 publication-title: Comput Intell Neurosci doi: 10.1155/2021/9210050 – volume: 37 start-page: 615 issue: 5 year: 2017 ident: 10567_CR18 publication-title: J Crustac Biol doi: 10.1093/jcbiol/rux070 – volume: 87 start-page: 103249 year: 2020 ident: 10567_CR38 publication-title: Eng Appl Artif Intell doi: 10.1016/j.engappai.2019.103249 – volume: 18 start-page: 4648 year: 2021 ident: 10567_CR68 publication-title: Math Biosci Eng doi: 10.3934/mbe.2021236 – volume: 53 start-page: 2237 year: 2020 ident: 10567_CR6 publication-title: Artif Intell Rev doi: 10.1007/s10462-019-09732-5 – year: 2022 ident: 10567_CR73 publication-title: Eng With Comput doi: 10.1007/s00366-022-01604-x – volume: 43 start-page: 596 year: 2016 ident: 10567_CR42 publication-title: Appl Soft Comput doi: 10.1016/j.asoc.2016.02.038 – volume: 114 start-page: 48 year: 2017 ident: 10567_CR22 publication-title: Adv Eng Softw doi: 10.1016/j.advengsoft.2017.05.014 – year: 2022 ident: 10567_CR20 publication-title: Operations Res doi: 10.1287/opre.2022.2366 – volume: 10 start-page: 4350 issue: 22 year: 2022 ident: 10567_CR80 publication-title: Mathematics doi: 10.3390/math10224350 – volume: 183 start-page: 1 issue: 1 year: 2012 ident: 10567_CR70 publication-title: Inf Sci doi: 10.1016/j.ins.2011.08.006 – volume: 267 start-page: 66 issue: 1 year: 1992 ident: 10567_CR41 publication-title: Sci Am doi: 10.1038/scientificamerican0792-66 – volume: 20 start-page: 89 issue: 1 year: 2007 ident: 10567_CR39 publication-title: Eng Appl Artif Intell doi: 10.1016/j.engappai.2006.03.003 – volume: 37 start-page: 2335 issue: 3 year: 2022 ident: 10567_CR44 publication-title: Int J Intell Syst doi: 10.1002/int.22776 – volume-title: Innovative computational intelligence: a rough guide to 134 clever algorithms year: 2014 ident: 10567_CR82 doi: 10.1007/978-3-319-03404-1_15 – volume: 37 start-page: 396 year: 2015 ident: 10567_CR9 publication-title: Appl Soft Comput doi: 10.1016/j.asoc.2015.08.052 – volume: 110 start-page: 69 year: 2017 ident: 10567_CR49 publication-title: Adv Eng Softw doi: 10.1016/j.advengsoft.2017.03.014 – volume: 83 start-page: 80 year: 2015 ident: 10567_CR59 publication-title: Adv Eng Softw doi: 10.1016/j.advengsoft.2015.01.010 – volume: 242 start-page: 108320 year: 2022 ident: 10567_CR35 publication-title: Knowl Based Syst doi: 10.1016/j.knosys.2022.108320 – volume: 5 start-page: 287 issue: 2 year: 2022 ident: 10567_CR64 publication-title: Decis making: Appl Manage Eng doi: 10.31181/dmame0318062022m – volume: 23 start-page: 73 issue: 1 year: 2013 ident: 10567_CR29 publication-title: Hidrobiológica – volume: 10 start-page: 65 issue: 1 year: 2023 ident: 10567_CR58 publication-title: J Comput Des Eng doi: 10.1093/jcde/qwac131 – volume: 26 start-page: 8 year: 2016 ident: 10567_CR1 publication-title: Swarm Evol Comput doi: 10.1016/j.swevo.2015.07.002 – volume: 148 start-page: 113246 year: 2020 ident: 10567_CR83 publication-title: Expert Syst Appl doi: 10.1016/j.eswa.2020.113246 – volume: 36 start-page: 60 issue: 2 year: 2011 ident: 10567_CR55 publication-title: Fisheries doi: 10.1577/03632415.2011.10389069 – volume: 7 start-page: 83 issue: 1 year: 2003 ident: 10567_CR74 publication-title: IEEE Trans Evol Comput doi: 10.1109/TEVC.2002.806788 – volume: 16 start-page: 1128 issue: 4 year: 2022 ident: 10567_CR43 publication-title: KSII Trans Internet Inform Syst (TIIS) doi: 10.3837/tiis.2022.04.003 – volume: 63 start-page: 289 year: 2018 ident: 10567_CR7 publication-title: Appl Soft Comput doi: 10.1016/j.asoc.2017.10.013 – volume: 39 start-page: 829 issue: 5 year: 1996 ident: 10567_CR17 publication-title: Int J Numer Methods Eng doi: 10.1002/(SICI)1097-0207(19960315)39:5<829::AID-NME884>3.0.CO;2-U – volume: 76 start-page: 60 issue: 2 year: 2001 ident: 10567_CR32 publication-title: simulation doi: 10.1177/003754970107600201 – ident: 10567_CR51 doi: 10.1109/ICNN.1995.488968 – volume: 149 start-page: 113338 year: 2020 ident: 10567_CR53 publication-title: Expert Syst Appl doi: 10.1016/j.eswa.2020.113338 – volume: 205 start-page: 117629 year: 2022 ident: 10567_CR57 publication-title: Expert Syst Appl doi: 10.1016/j.eswa.2022.117629 – volume: 1 start-page: 3 year: 2002 ident: 10567_CR13 publication-title: Nat Comput doi: 10.1023/A:1015059928466 – volume: 10 start-page: 3765 issue: 20 year: 2022 ident: 10567_CR69 publication-title: Mathematics doi: 10.3390/math10203765 – volume: 89 start-page: 106018 year: 2020 ident: 10567_CR47 publication-title: Appl Soft Comput doi: 10.1016/j.asoc.2019.106018 – volume: 15 start-page: 74 issue: 3 year: 2000 ident: 10567_CR8 publication-title: IEEE Intell Syst their Appl doi: 10.1109/5254.846288 – volume: 1 start-page: 28 issue: 4 year: 2006 ident: 10567_CR25 publication-title: IEEE Comput Intell Mag doi: 10.1109/MCI.2006.329691 – year: 2022 ident: 10567_CR75 publication-title: Comput Intell Neurosci doi: 10.1155/2022/4673665 – volume: 112 start-page: 283 year: 2012 ident: 10567_CR50 publication-title: Comput Struct doi: 10.1016/j.compstruc.2012.09.003 – volume: 222 start-page: 175 year: 2013 ident: 10567_CR34 publication-title: Inf Sci doi: 10.1016/j.ins.2012.08.023 – year: 1982 ident: 10567_CR12 publication-title: Am Midl Nat doi: 10.2307/2425310 – volume: 46 start-page: 100743 year: 2022 ident: 10567_CR15 publication-title: Discrete Optim doi: 10.1016/j.disopt.2022.100743 – volume: 27 start-page: 1053 year: 2016 ident: 10567_CR60 publication-title: Neural Comput Appl doi: 10.1007/s00521-015-1920-1 – volume: 95 start-page: 51 year: 2016 ident: 10567_CR62 publication-title: Adv Eng Softw doi: 10.1016/j.advengsoft.2016.01.008 – volume: 114 start-page: 105075 year: 2022 ident: 10567_CR84 publication-title: Eng Appl Artif Intell doi: 10.1016/j.engappai.2022.105075 – volume: 136 start-page: 539 issue: 3 year: 2003 ident: 10567_CR66 publication-title: Comp Biochem Physiol A: Mol Integr Physiol doi: 10.1016/S1095-6433(03)00203-4 – volume: 42 start-page: ruac002 issue: 1 year: 2022 ident: 10567_CR33 publication-title: J Crustac Biol doi: 10.1093/jcbiol/ruac002 – volume: 96 start-page: 120 year: 2016 ident: 10567_CR61 publication-title: Knowl Based Syst doi: 10.1016/j.knosys.2015.12.022 – volume: 82 start-page: 148 year: 2019 ident: 10567_CR23 publication-title: Eng Appl Artif Intell doi: 10.1016/j.engappai.2019.03.021 – volume: 29 start-page: 17 year: 2013 ident: 10567_CR30 publication-title: Eng With Comput doi: 10.1007/s00366-011-0241-y – volume: 243 start-page: 108457 year: 2022 ident: 10567_CR14 publication-title: Knowl Based Syst doi: 10.1016/j.knosys.2022.108457 – volume: 11 start-page: 341 issue: 4 year: 1997 ident: 10567_CR76 publication-title: J Global Optim doi: 10.1023/A:1008202821328 – volume: 97 start-page: 849 year: 2019 ident: 10567_CR40 publication-title: Future Gener Computer Syst doi: 10.1016/j.future.2019.02.028 – volume: 185 start-page: 115665 year: 2021 ident: 10567_CR45 publication-title: Expert Syst Appl doi: 10.1016/j.eswa.2021.115665 – volume: 39 start-page: 459 year: 2007 ident: 10567_CR48 publication-title: J Global Optim doi: 10.1007/s10898-007-9149-x – volume: 10 start-page: 1696 issue: 10 year: 2022 ident: 10567_CR77 publication-title: Mathematics doi: 10.3390/math10101696 – year: 2014 ident: 10567_CR54 publication-title: Knowl Manage Aquat Ecosyst doi: 10.1051/kmae/2014007 – volume: 10 start-page: 3604 issue: 19 year: 2022 ident: 10567_CR78 publication-title: Mathematics doi: 10.3390/math10193604
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Snippet	This paper proposes a meta heuristic optimization algorithm, called Crayfish Optimization Algorithm (COA), which simulates crayfish’s summer resort behavior,... This paper proposes a meta heuristic optimization algorithm, called Crayfish Optimization Algorithm (COA), which simulates crayfish's summer resort behavior,...
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SubjectTerms	Algorithms Artificial Intelligence Behavior Benchmarks Competition Computer Science Education Experiments Exploitation Food Food consumption Food intake Foraging behavior Global optimization Heuristic Hunter-gatherers Mathematical optimization Methods Optimization Optimization algorithms Original Paper Randomness Resorts Resorts & spas Source code Summer
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Title	Crayfish optimization algorithm
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