{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,1]],"date-time":"2026-04-01T18:24:50Z","timestamp":1775067890876,"version":"3.50.1"},"reference-count":123,"publisher":"Springer Science and Business Media LLC","license":[{"start":{"date-parts":[[2024,5,16]],"date-time":"2024-05-16T00:00:00Z","timestamp":1715817600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,5,16]],"date-time":"2024-05-16T00:00:00Z","timestamp":1715817600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Neural Comput & Applic"],"DOI":"10.1007\/s00521-024-09879-5","type":"journal-article","created":{"date-parts":[[2024,5,16]],"date-time":"2024-05-16T03:36:52Z","timestamp":1715830612000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":60,"title":["Pied kingfisher optimizer: a new bio-inspired algorithm for solving numerical optimization and industrial engineering problems"],"prefix":"10.1007","author":[{"given":"Anas","family":"Bouaouda","sequence":"first","affiliation":[]},{"given":"Fatma A.","family":"Hashim","sequence":"additional","affiliation":[]},{"given":"Yassine","family":"Sayouti","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5394-0678","authenticated-orcid":false,"given":"Abdelazim G.","family":"Hussien","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2024,5,16]]},"reference":[{"issue":"1","key":"9879_CR1","doi-asserted-by":"publisher","first-page":"31","DOI":"10.1007\/s00170-015-6993-6","volume":"80","author":"V Hajipour","year":"2015","unstructured":"Hajipour V, Kheirkhah A, Tavana M, Absi N (2015) Novel Pareto-based meta-heuristics for solving multi-objective multi-item capacitated lot-sizing problems. Int J Adv Manuf Technol 80(1):31\u201345","journal-title":"Int J Adv Manuf Technol"},{"key":"9879_CR2","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2020.114122","volume":"167","author":"D Zhao","year":"2021","unstructured":"Zhao D, Liu L, Yu F, Heidari AA, Wang M, Oliva D, Muhammad K, Chen H (2021) Ant colony optimization with horizontal and vertical crossover search: fundamental visions for multi-threshold image segmentation. Expert Syst Appl 167:114122","journal-title":"Expert Syst Appl"},{"key":"9879_CR3","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2021.106966","volume":"222","author":"D Paul","year":"2021","unstructured":"Paul D, Jain A, Saha S, Mathew J (2021) Multi-objective pso based online feature selection for multi-label classification. Knowl Based Syst 222:106966","journal-title":"Knowl Based Syst"},{"issue":"6","key":"9879_CR4","doi-asserted-by":"publisher","first-page":"4605","DOI":"10.1007\/s10462-021-10114-z","volume":"55","author":"S Chakraborty","year":"2022","unstructured":"Chakraborty S, Sharma S, Saha AK, Saha A (2022) A novel improved whale optimization algorithm to solve numerical optimization and real-world applications. Artif Intell Rev 55(6):4605\u20134716","journal-title":"Artif Intell Rev"},{"key":"9879_CR5","doi-asserted-by":"publisher","first-page":"4449","DOI":"10.1007\/s11831-023-09945-6","volume":"30","author":"B Sasmal","year":"2023","unstructured":"Sasmal B, Hussien AG, Das A, Dhal KG (2023) A Comprehensive Survey on Aquila Optimizer. Arch Comput Methods Eng 30:4449\u20134476","journal-title":"Arch Comput Methods Eng"},{"key":"9879_CR6","volume-title":"introduction to stochastics search and optimization","author":"C James","year":"2003","unstructured":"James C (2003) introduction to stochastics search and optimization. Wiley-Interscience, Hoboken"},{"key":"9879_CR7","doi-asserted-by":"publisher","first-page":"141","DOI":"10.1016\/j.aej.2022.12.045","volume":"68","author":"A Chhabra","year":"2023","unstructured":"Chhabra A, Hussien AG, Hashim FA (2023) Improved bald eagle search algorithm for global optimization and feature selection. Alex Eng J 68:141\u2013180","journal-title":"Alex Eng J"},{"key":"9879_CR8","doi-asserted-by":"publisher","first-page":"32613","DOI":"10.1007\/s11042-023-16890-w","volume":"83","author":"L Abualigah","year":"2024","unstructured":"Abualigah L, Oliva D, Jia H et al (2024) Improved prairie dog optimization algorithm by dwarf mongoose optimization algorithm for optimization problems. Multimed Tools Appl 83:32613\u201332653","journal-title":"Multimed Tools Appl"},{"issue":"11","key":"9879_CR9","doi-asserted-by":"publisher","first-page":"2254","DOI":"10.3390\/pr10112254","volume":"10","author":"AG Hussien","year":"2022","unstructured":"Hussien AG, Hashim FA, Qaddoura R, Abualigah L, Pop A (2022) An enhanced evaporation rate water-cycle algorithm for global optimization. Processes 10(11):2254","journal-title":"Processes"},{"key":"9879_CR10","doi-asserted-by":"publisher","first-page":"67","DOI":"10.1016\/j.asoc.2018.08.012","volume":"73","author":"Q Liu","year":"2018","unstructured":"Liu Q, Wu L, Xiao W, Wang F, Zhang L (2018) A novel hybrid bat algorithm for solving continuous optimization problems. Appl Soft Comput 73:67\u201382","journal-title":"Appl Soft Comput"},{"key":"9879_CR11","doi-asserted-by":"publisher","DOI":"10.1016\/j.apenergy.2023.122054","volume":"353","author":"MA Elseify","year":"2024","unstructured":"Elseify MA, Hashim FA, Hussien AG, Kamel S (2024) Single and multi-objectives based on an improved golden jackal optimization algorithm for simultaneous integration of multiple capacitors and multi-type dgs in distribution systems. Appl Energy 353:122054","journal-title":"Appl Energy"},{"key":"9879_CR12","doi-asserted-by":"publisher","first-page":"4049","DOI":"10.1007\/s11831-022-09730-x","volume":"29","author":"A Bouaouda","year":"2022","unstructured":"Bouaouda A, Sayouti Y (2022) Hybrid Meta-Heuristic Algorithms for Optimal Sizing of Hybrid Renewable Energy System: A Review of the State-of-the-Art. Arch Computat Methods Eng 29:4049\u20134083","journal-title":"Arch Computat Methods Eng"},{"key":"9879_CR13","doi-asserted-by":"publisher","DOI":"10.1016\/j.est.2023.109974","volume":"78","author":"AG Hussien","year":"2024","unstructured":"Hussien AG, Abd El-Sattar H, Hashim FA, Kamel S (2024) Enhancing optimal sizing of stand-alone hybrid systems with energy storage considering techno-economic criteria based on a modified artificial rabbits optimizer. J Energy Storage 78:109974","journal-title":"J Energy Storage"},{"key":"9879_CR14","doi-asserted-by":"publisher","DOI":"10.1016\/j.engappai.2020.103501","volume":"90","author":"MH Shirvani","year":"2020","unstructured":"Shirvani MH (2020) A hybrid meta-heuristic algorithm for scientific workflow scheduling in heterogeneous distributed computing systems. Eng Appl Artif Intell 90:103501","journal-title":"Eng Appl Artif Intell"},{"key":"9879_CR15","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-05549-7","volume-title":"Advances in metaheuristic algorithms for optimal design of structures","author":"A Kaveh","year":"2014","unstructured":"Kaveh A (2014) Advances in metaheuristic algorithms for optimal design of structures. Springer, Berlin"},{"issue":"3","key":"9879_CR16","doi-asserted-by":"publisher","first-page":"1841","DOI":"10.1007\/s10462-020-09893-8","volume":"54","author":"A Tzanetos","year":"2021","unstructured":"Tzanetos A, Dounias G (2021) Nature inspired optimization algorithms or simply variations of metaheuristics? Artif Intell Rev 54(3):1841\u20131862","journal-title":"Artif Intell Rev"},{"key":"9879_CR17","doi-asserted-by":"publisher","first-page":"11","DOI":"10.1016\/j.swevo.2015.05.002","volume":"24","author":"N Lynn","year":"2015","unstructured":"Lynn N, Suganthan PN (2015) Heterogeneous comprehensive learning particle swarm optimization with enhanced exploration and exploitation. Swarm Evol Comput 24:11\u201324","journal-title":"Swarm Evol Comput"},{"key":"9879_CR18","doi-asserted-by":"publisher","first-page":"29","DOI":"10.1016\/j.aej.2023.11.004","volume":"85","author":"FA Hashim","year":"2023","unstructured":"Hashim FA, Houssein EH, Mostafa RR, Hussien AG, Helmy F (2023) An efficient adaptive-mutated coati optimization algorithm for feature selection and global optimization. Alex Eng J 85:29\u201348","journal-title":"Alex Eng J"},{"key":"9879_CR19","doi-asserted-by":"crossref","unstructured":"Gandomi AH, Yang XS, Talatahari S, Alavi AH (2013) Metaheuristic algorithms in modeling and optimization. In: Metaheuristic applications in structures and infrastructures 1","DOI":"10.1016\/B978-0-12-398364-0.00001-2"},{"key":"9879_CR20","doi-asserted-by":"publisher","first-page":"227","DOI":"10.1016\/j.ins.2020.03.064","volume":"527","author":"H Wang","year":"2020","unstructured":"Wang H, Wang W, Xiao S, Cui Z, Xu M, Zhou X (2020) Improving artificial bee colony algorithm using a new neighborhood selection mechanism. Inf Sci 527:227\u2013240","journal-title":"Inf Sci"},{"key":"9879_CR21","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2020.114418","volume":"168","author":"Y Feng","year":"2021","unstructured":"Feng Y, Deb S, Wang G-G, Alavi AH (2021) Monarch butterfly optimization: a comprehensive review. Expert Syst Appl 168:114418","journal-title":"Expert Syst Appl"},{"key":"9879_CR22","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2022.116550","volume":"195","author":"T Thaher","year":"2022","unstructured":"Thaher T, Chantar H, Too J, Mafarja M, Turabieh H, Houssein EH (2022) Boolean particle swarm optimization with various evolutionary population dynamics approaches for feature selection problems. Expert Syst Appl 195:116550","journal-title":"Expert Syst Appl"},{"key":"9879_CR23","doi-asserted-by":"publisher","first-page":"2323","DOI":"10.1007\/s10462-020-09906-6","volume":"54","author":"AH Halim","year":"2021","unstructured":"Halim AH, Ismail I, Das S (2021) Performance assessment of the metaheuristic optimization algorithms: an exhaustive review. Artif Intell Rev 54:2323\u20132409","journal-title":"Artif Intell Rev"},{"key":"9879_CR24","doi-asserted-by":"publisher","first-page":"128","DOI":"10.1016\/j.future.2022.05.022","volume":"136","author":"Y\u00c7 Kuyu","year":"2022","unstructured":"Kuyu Y\u00c7, Vatansever F (2022) Gozde: a novel metaheuristic algorithm for global optimization. Future Gener Comput Syst 136:128\u2013152","journal-title":"Future Gener Comput Syst"},{"issue":"1","key":"9879_CR25","doi-asserted-by":"publisher","first-page":"67","DOI":"10.1109\/4235.585893","volume":"1","author":"DH Wolpert","year":"1997","unstructured":"Wolpert DH, Macready WG (1997) No free lunch theorems for optimization. IEEE Trans Evol Comput 1(1):67\u201382","journal-title":"IEEE Trans Evol Comput"},{"key":"9879_CR26","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4612-4380-9_16","volume-title":"Individual comparisons by ranking methods","author":"F Wilcoxon","year":"1992","unstructured":"Wilcoxon F (1992) Individual comparisons by ranking methods. Springer, Berlin"},{"issue":"200","key":"9879_CR27","doi-asserted-by":"publisher","first-page":"675","DOI":"10.1080\/01621459.1937.10503522","volume":"32","author":"M Friedman","year":"1937","unstructured":"Friedman M (1937) The use of ranks to avoid the assumption of normality implicit in the analysis of variance. J Am Stat Assoc 32(200):675\u2013701","journal-title":"J Am Stat Assoc"},{"issue":"9","key":"9879_CR28","doi-asserted-by":"publisher","first-page":"1009","DOI":"10.1007\/s00170-009-2363-6","volume":"48","author":"HR Sayarshad","year":"2010","unstructured":"Sayarshad HR (2010) Using bees algorithm for material handling equipment planning in manufacturing systems. Int J Adv Manuf Technol 48(9):1009\u20131018","journal-title":"Int J Adv Manuf Technol"},{"key":"9879_CR29","doi-asserted-by":"publisher","first-page":"341","DOI":"10.1016\/j.cma.2018.04.037","volume":"339","author":"W Zhao","year":"2018","unstructured":"Zhao W, Du C, Jiang S (2018) An adaptive multiscale approach for identifying multiple flaws based on xfem and a discrete artificial fish swarm algorithm. Comput Methods Appl Mech Eng 339:341\u2013357","journal-title":"Comput Methods Appl Mech Eng"},{"key":"9879_CR30","doi-asserted-by":"publisher","DOI":"10.1016\/j.compstruc.2020.106250","volume":"234","author":"S Gholizadeh","year":"2020","unstructured":"Gholizadeh S, Danesh M, Gheyratmand C (2020) A new newton metaheuristic algorithm for discrete performance-based design optimization of steel moment frames. Comput Struct 234:106250","journal-title":"Comput Struct"},{"key":"9879_CR31","doi-asserted-by":"publisher","first-page":"2883","DOI":"10.1007\/s00521-022-07715-2","volume":"35","author":"M Khasanov","year":"2023","unstructured":"Khasanov M, Kamel S, Halim Houssein E et al (2023) Optimal allocation strategy of photovoltaic- and wind turbine-based distributed generation units in radial distribution networks considering uncertainty. Neural Comput & Applic 35:2883\u20132908","journal-title":"Neural Comput & Applic"},{"key":"9879_CR32","unstructured":"Van\u00a0Eck NJ, Waltman L (2020) Vosviewer: visualizing scientific landscapes, Retrieved March 28 (2016)"},{"key":"9879_CR33","doi-asserted-by":"crossref","unstructured":"Krause J, Cordeiro J, Parpinelli RS, Lopes HS (2013) A survey of swarm algorithms applied to discrete optimization problems. In: Swarm intelligence and bio-inspired computation. Elsevier, pp 169\u2013191","DOI":"10.1016\/B978-0-12-405163-8.00007-7"},{"issue":"4598","key":"9879_CR34","doi-asserted-by":"publisher","first-page":"671","DOI":"10.1126\/science.220.4598.671","volume":"220","author":"S Kirkpatrick","year":"1983","unstructured":"Kirkpatrick S, Gelatt CD Jr, Vecchi MP (1983) Optimization by simulated annealing. Science 220(4598):671\u2013680","journal-title":"Science"},{"issue":"2","key":"9879_CR35","doi-asserted-by":"publisher","first-page":"106","DOI":"10.1016\/j.advengsoft.2005.04.005","volume":"37","author":"OK Erol","year":"2006","unstructured":"Erol OK, Eksin I (2006) A new optimization method: big bang-big crunch. Adv Eng Softw 37(2):106\u2013111","journal-title":"Adv Eng Softw"},{"issue":"13","key":"9879_CR36","doi-asserted-by":"publisher","first-page":"2232","DOI":"10.1016\/j.ins.2009.03.004","volume":"179","author":"E Rashedi","year":"2009","unstructured":"Rashedi E, Nezamabadi-Pour H, Saryazdi S (2009) Gsa: a gravitational search algorithm. Inf Sci 179(13):2232\u20132248","journal-title":"Inf Sci"},{"key":"9879_CR37","doi-asserted-by":"publisher","first-page":"283","DOI":"10.1016\/j.compstruc.2012.09.003","volume":"112","author":"A Kaveh","year":"2012","unstructured":"Kaveh A, Khayatazad M (2012) A new meta-heuristic method: ray optimization. Comput Struct 112:283\u2013294","journal-title":"Comput Struct"},{"key":"9879_CR38","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.knosys.2014.07.025","volume":"75","author":"H Salimi","year":"2015","unstructured":"Salimi H (2015) Stochastic fractal search: a powerful metaheuristic algorithm. Knowl Based Syst 75:1\u201318","journal-title":"Knowl Based Syst"},{"key":"9879_CR39","doi-asserted-by":"publisher","first-page":"37","DOI":"10.1016\/j.softx.2016.03.001","volume":"5","author":"A Sadollah","year":"2016","unstructured":"Sadollah A, Eskandar H, Lee HM, Kim JH et al (2016) Water cycle algorithm: a detailed standard code. SoftwareX 5:37\u201343","journal-title":"SoftwareX"},{"issue":"2","key":"9879_CR40","doi-asserted-by":"publisher","first-page":"495","DOI":"10.1007\/s00521-015-1870-7","volume":"27","author":"S Mirjalili","year":"2016","unstructured":"Mirjalili S, Mirjalili SM, Hatamlou A (2016) Multi-verse optimizer: a nature-inspired algorithm for global optimization. Neural Comput Appl 27(2):495\u2013513","journal-title":"Neural Comput Appl"},{"key":"9879_CR41","doi-asserted-by":"publisher","first-page":"646","DOI":"10.1016\/j.future.2019.07.015","volume":"101","author":"FA Hashim","year":"2019","unstructured":"Hashim FA, Houssein EH, Mabrouk MS, Al-Atabany W, Mirjalili S (2019) Henry gas solubility optimization: a novel physics-based algorithm. Future Gener Comput Syst 101:646\u2013667","journal-title":"Future Gener Comput Syst"},{"key":"9879_CR42","doi-asserted-by":"publisher","first-page":"283","DOI":"10.1016\/j.knosys.2018.08.030","volume":"163","author":"W Zhao","year":"2019","unstructured":"Zhao W, Wang L, Zhang Z (2019) Atom search optimization and its application to solve a hydrogeologic parameter estimation problem. Knowl Based Syst 163:283\u2013304","journal-title":"Knowl Based Syst"},{"key":"9879_CR43","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2019.105190","volume":"191","author":"A Faramarzi","year":"2020","unstructured":"Faramarzi A, Heidarinejad M, Stephens B, Mirjalili S (2020) Equilibrium optimizer: a novel optimization algorithm. Knowl Based Syst 191:105190","journal-title":"Knowl Based Syst"},{"issue":"19","key":"9879_CR44","doi-asserted-by":"publisher","first-page":"3466","DOI":"10.3390\/math10193466","volume":"10","author":"M Abdel-Basset","year":"2022","unstructured":"Abdel-Basset M, Mohamed R, Sallam KM, Chakrabortty RK (2022) Light spectrum optimizer: a novel physics-inspired metaheuristic optimization algorithm. Mathematics 10(19):3466","journal-title":"Mathematics"},{"key":"9879_CR45","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2022.110146","volume":"260","author":"FA Hashim","year":"2023","unstructured":"Hashim FA, Mostafa RR, Hussien AG, Mirjalili S, Sallam KM (2023) Fick\u2019s law algorithm: a physical law-based algorithm for numerical optimization. Knowl Based Syst 260:110146","journal-title":"Knowl Based Syst"},{"key":"9879_CR46","doi-asserted-by":"publisher","DOI":"10.7551\/mitpress\/1090.001.0001","volume-title":"Adaptation in natural and artificial systems: an introductory analysis with applications to biology, control, and artificial intelligence","author":"JH Holland","year":"1992","unstructured":"Holland JH (1992) Adaptation in natural and artificial systems: an introductory analysis with applications to biology, control, and artificial intelligence. MIT press, Cambridge"},{"issue":"4","key":"9879_CR47","doi-asserted-by":"publisher","first-page":"341","DOI":"10.1023\/A:1008202821328","volume":"11","author":"R Storn","year":"1997","unstructured":"Storn R, Price K (1997) Differential evolution: a simple and efficient heuristic for global optimization over continuous spaces. J Glob Optim 11(4):341\u2013359","journal-title":"J Glob Optim"},{"issue":"2","key":"9879_CR48","doi-asserted-by":"publisher","first-page":"82","DOI":"10.1109\/4235.771163","volume":"3","author":"X Yao","year":"1999","unstructured":"Yao X, Liu Y, Lin G (1999) Evolutionary programming made faster. IEEE Trans Evol Comput 3(2):82\u2013102","journal-title":"IEEE Trans Evol Comput"},{"key":"9879_CR49","unstructured":"Ferreira C (2001) Gene expression programming: a new adaptive algorithm for solving problems, arXiv preprint arXiv:cs\/0102027"},{"issue":"1","key":"9879_CR50","doi-asserted-by":"publisher","first-page":"3","DOI":"10.1023\/A:1015059928466","volume":"1","author":"H-G Beyer","year":"2002","unstructured":"Beyer H-G, Schwefel H-P (2002) Evolution strategies: a comprehensive introduction. Nat Comput 1(1):3\u201352","journal-title":"Nat Comput"},{"issue":"6","key":"9879_CR51","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1049\/el:20030383","volume":"39","author":"SH Jung","year":"2003","unstructured":"Jung SH (2003) Queen-bee evolution for genetic algorithms. Electron Lett 39(6):1","journal-title":"Electron Lett"},{"issue":"6","key":"9879_CR52","doi-asserted-by":"publisher","first-page":"702","DOI":"10.1109\/TEVC.2008.919004","volume":"12","author":"D Simon","year":"2008","unstructured":"Simon D (2008) Biogeography-based optimization. IEEE Trans Evol Comput 12(6):702\u2013713","journal-title":"IEEE Trans Evol Comput"},{"issue":"15","key":"9879_CR53","doi-asserted-by":"publisher","first-page":"8121","DOI":"10.1016\/j.amc.2013.02.017","volume":"219","author":"P Civicioglu","year":"2013","unstructured":"Civicioglu P (2013) Backtracking search optimization algorithm for numerical optimization problems. Appl Math Comput 219(15):8121\u20138144","journal-title":"Appl Math Comput"},{"key":"9879_CR54","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2020.106785","volume":"97","author":"S Bansal","year":"2020","unstructured":"Bansal S, Baliyan N (2020) Bi-mars: a bi-clustering based memetic algorithm for recommender systems. Appl Soft Comput 97:106785","journal-title":"Appl Soft Comput"},{"key":"9879_CR55","doi-asserted-by":"publisher","DOI":"10.1016\/j.engappai.2019.103330","volume":"87","author":"MH Sulaiman","year":"2020","unstructured":"Sulaiman MH, Mustaffa Z, Saari MM, Daniyal H (2020) Barnacles mating optimizer: a new bio-inspired algorithm for solving engineering optimization problems. Eng Appl Artif Intell 87:103330","journal-title":"Eng Appl Artif Intell"},{"key":"9879_CR56","doi-asserted-by":"crossref","unstructured":"Eberhart R, Kennedy J (1995) A new optimizer using particle swarm theory. In: MHS\u201995. Proceedings of the sixth international symposium on micro machine and human science. IEEE, pp 39\u201343","DOI":"10.1109\/MHS.1995.494215"},{"key":"9879_CR57","doi-asserted-by":"crossref","unstructured":"Dorigo M, Di\u00a0Caro G (1999) Ant colony optimization: a new meta-heuristic. In: Proceedings of the 1999 congress on evolutionary computation-CEC99 (Cat. No. 99TH8406), 2, pp 1470\u20131477. IEEE","DOI":"10.1109\/CEC.1999.782657"},{"issue":"3","key":"9879_CR58","doi-asserted-by":"publisher","first-page":"52","DOI":"10.1109\/MCS.2002.1004010","volume":"22","author":"KM Passino","year":"2002","unstructured":"Passino KM (2002) Biomimicry of bacterial foraging for distributed optimization and control. IEEE Control Syst Mag 22(3):52\u201367","journal-title":"IEEE Control Syst Mag"},{"key":"9879_CR59","unstructured":"Li X (2003) A new intelligent optimization method-artificial fish school algorithm. Doctor thesis of Zhejiang University"},{"issue":"1","key":"9879_CR60","doi-asserted-by":"publisher","first-page":"329","DOI":"10.1093\/jcde\/qwac135","volume":"10","author":"R Zheng","year":"2023","unstructured":"Zheng R, Hussien AG, Qaddoura R, Jia H, Abualigah L, Wang S, Saber A (2023) A multi-strategy enhanced african vultures optimization algorithm for global optimization problems. Journal of Computational Design and Engineering 10(1):329\u2013356","journal-title":"Journal of Computational Design and Engineering"},{"key":"9879_CR61","doi-asserted-by":"publisher","first-page":"459","DOI":"10.1007\/s10898-007-9149-x","volume":"39","author":"D Karaboga","year":"2007","unstructured":"Karaboga D, Basturk B (2007) A powerful and efficient algorithm for numerical function optimization: artificial bee colony (abc) algorithm. J Glob Optim 39:459\u2013471","journal-title":"J Glob Optim"},{"issue":"4","key":"9879_CR62","doi-asserted-by":"publisher","first-page":"851","DOI":"10.3390\/math11040851","volume":"11","author":"G Hu","year":"2023","unstructured":"Hu G, Wang J, Li M, Hussien AG, Abbas M (2023) Ejs: multi-strategy enhanced jellyfish search algorithm for engineering applications. Mathematics 11(4):851","journal-title":"Mathematics"},{"key":"9879_CR63","doi-asserted-by":"crossref","unstructured":"Yang X-S, Deb S (2009) Cuckoo search via L\u00e9vy flights. In: World congress on nature and biologically inspired computing (NaBIC). IEEE, pp 210\u2013214","DOI":"10.1109\/NABIC.2009.5393690"},{"issue":"5","key":"9879_CR64","doi-asserted-by":"publisher","first-page":"464","DOI":"10.1108\/02644401211235834","volume":"29","author":"X-S Yang","year":"2012","unstructured":"Yang X-S, Hossein Gandomi A (2012) Bat algorithm: a novel approach for global engineering optimization. Eng Comput 29(5):464\u2013483","journal-title":"Eng Comput"},{"key":"9879_CR65","doi-asserted-by":"publisher","first-page":"46","DOI":"10.1016\/j.advengsoft.2013.12.007","volume":"69","author":"S Mirjalili","year":"2014","unstructured":"Mirjalili S, Mirjalili SM, Lewis A (2014) Grey wolf optimizer. Adv Eng Softw 69:46\u201361","journal-title":"Adv Eng Softw"},{"key":"9879_CR66","doi-asserted-by":"publisher","first-page":"80","DOI":"10.1016\/j.advengsoft.2015.01.010","volume":"83","author":"S Mirjalili","year":"2015","unstructured":"Mirjalili S (2015) The ant lion optimizer. Adv Eng Softw 83:80\u201398","journal-title":"Adv Eng Softw"},{"key":"9879_CR67","doi-asserted-by":"publisher","first-page":"169","DOI":"10.1016\/j.knosys.2018.11.024","volume":"165","author":"G Dhiman","year":"2019","unstructured":"Dhiman G, Kumar V (2019) Seagull optimization algorithm: theory and its applications for large-scale industrial engineering problems. Knowl Based Syst 165:169\u2013196","journal-title":"Knowl Based Syst"},{"key":"9879_CR68","doi-asserted-by":"publisher","first-page":"148","DOI":"10.1016\/j.swevo.2018.02.013","volume":"44","author":"M Jain","year":"2019","unstructured":"Jain M, Singh V, Rani A (2019) A novel nature-inspired algorithm for optimization: squirrel search algorithm. Swarm Evol Comput 44:148\u2013175","journal-title":"Swarm Evol Comput"},{"key":"9879_CR69","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2021.114685","volume":"174","author":"MS Braik","year":"2021","unstructured":"Braik MS (2021) Chameleon swarm algorithm: a bio-inspired optimizer for solving engineering design problems. Expert Syst Appl 174:114685","journal-title":"Expert Syst Appl"},{"key":"9879_CR70","doi-asserted-by":"publisher","first-page":"521","DOI":"10.1007\/s11831-023-09990-1","volume":"31","author":"B Sasmal","year":"2024","unstructured":"Sasmal B, Hussien AG, Das A et al (2024) Reptile Search Algorithm: Theory, Variants, Applications, and Performance Evaluation. Arch Computat Methods Eng 31:521\u2013549","journal-title":"Arch Computat Methods Eng"},{"key":"9879_CR71","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2022.108320","volume":"242","author":"FA Hashim","year":"2022","unstructured":"Hashim FA, Hussien AG (2022) Snake optimizer: a novel meta-heuristic optimization algorithm. Knowl Based Syst 242:108320","journal-title":"Knowl Based Syst"},{"issue":"5","key":"9879_CR72","doi-asserted-by":"publisher","first-page":"533","DOI":"10.1016\/0305-0548(86)90048-1","volume":"13","author":"F Glover","year":"1986","unstructured":"Glover F (1986) Future paths for integer programming and links to artificial intelligence. Comput Oper Res 13(5):533\u2013549","journal-title":"Comput Oper Res"},{"issue":"2","key":"9879_CR73","doi-asserted-by":"publisher","first-page":"60","DOI":"10.1177\/003754970107600201","volume":"76","author":"ZW Geem","year":"2001","unstructured":"Geem ZW, Kim JH, Loganathan GV (2001) A new heuristic optimization algorithm: harmony search. Simulation 76(2):60\u201368","journal-title":"Simulation"},{"key":"9879_CR74","doi-asserted-by":"crossref","unstructured":"Atashpaz-Gargari E, Lucas C (2007) Imperialist competitive algorithm: an algorithm for optimization inspired by imperialistic competition. In: IEEE congress on evolutionary computation. IEEE, pp 4661\u20134667","DOI":"10.1109\/CEC.2007.4425083"},{"issue":"3","key":"9879_CR75","doi-asserted-by":"publisher","first-page":"303","DOI":"10.1016\/j.cad.2010.12.015","volume":"43","author":"RV Rao","year":"2011","unstructured":"Rao RV, Savsani VJ, Vakharia D (2011) Teaching-learning-based optimization: a novel method for constrained mechanical design optimization problems. Comput Aided Des 43(3):303\u2013315","journal-title":"Comput Aided Des"},{"issue":"5","key":"9879_CR76","doi-asserted-by":"publisher","first-page":"2837","DOI":"10.1016\/j.asoc.2012.05.018","volume":"13","author":"F Ramezani","year":"2013","unstructured":"Ramezani F, Lotfi S (2013) Social-based algorithm (sba). Appl Soft Comput 13(5):2837\u20132856","journal-title":"Appl Soft Comput"},{"key":"9879_CR77","doi-asserted-by":"crossref","unstructured":"Shi Y (2015) An optimization algorithm based on brainstorming process. In: Emerging research on swarm intelligence and algorithm optimization. IGI Global, pp 1\u201335","DOI":"10.4018\/978-1-4666-6328-2.ch001"},{"key":"9879_CR78","doi-asserted-by":"publisher","first-page":"252","DOI":"10.1016\/j.future.2017.10.052","volume":"81","author":"M Kumar","year":"2018","unstructured":"Kumar M, Kulkarni AJ, Satapathy SC (2018) Socio evolution and learning optimization algorithm: a socio-inspired optimization methodology. Future Gener Comput Syst 81:252\u2013272","journal-title":"Future Gener Comput Syst"},{"key":"9879_CR79","doi-asserted-by":"publisher","first-page":"728","DOI":"10.1016\/j.asoc.2018.07.033","volume":"71","author":"H Shayanfar","year":"2018","unstructured":"Shayanfar H, Gharehchopogh FS (2018) Farmland fertility: a new metaheuristic algorithm for solving continuous optimization problems. Appl Soft Comput 71:728\u2013746","journal-title":"Appl Soft Comput"},{"key":"9879_CR80","doi-asserted-by":"publisher","first-page":"165","DOI":"10.1016\/j.engappai.2019.08.025","volume":"86","author":"SHS Moosavi","year":"2019","unstructured":"Moosavi SHS, Bardsiri VK (2019) Poor and rich optimization algorithm: a new human-based and multi populations algorithm. Eng Appl Artif Intell 86:165\u2013181","journal-title":"Eng Appl Artif Intell"},{"key":"9879_CR81","doi-asserted-by":"publisher","DOI":"10.1016\/j.compstruc.2020.106268","volume":"235","author":"M Jahangiri","year":"2020","unstructured":"Jahangiri M, Hadianfard MA, Najafgholipour MA, Jahangiri M, Gerami MR (2020) Interactive autodidactic school: a new metaheuristic optimization algorithm for solving mathematical and structural design optimization problems. Comput Struct 235:106268","journal-title":"Comput Struct"},{"key":"9879_CR82","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2020.105709","volume":"195","author":"Q Askari","year":"2020","unstructured":"Askari Q, Younas I, Saeed M (2020) Political optimizer: a novel socio-inspired meta-heuristic for global optimization. Knowl Based Syst 195:105709","journal-title":"Knowl Based Syst"},{"key":"9879_CR83","doi-asserted-by":"publisher","first-page":"10359","DOI":"10.1007\/s00521-019-04575-1","volume":"32","author":"SQ Salih","year":"2020","unstructured":"Salih SQ, Alsewari AA (2020) A new algorithm for normal and large-scale optimization problems: nomadic people optimizer. Neural Comput Appl 32:10359\u201310386","journal-title":"Neural Comput Appl"},{"issue":"2","key":"9879_CR84","doi-asserted-by":"publisher","first-page":"2125","DOI":"10.1007\/s11227-021-03943-w","volume":"78","author":"H Emami","year":"2022","unstructured":"Emami H (2022) Stock exchange trading optimization algorithm: a human-inspired method for global optimization. J Supercomput 78(2):2125\u20132174","journal-title":"J Supercomput"},{"key":"9879_CR85","doi-asserted-by":"publisher","first-page":"120","DOI":"10.1016\/j.knosys.2015.12.022","volume":"96","author":"S Mirjalili","year":"2016","unstructured":"Mirjalili S (2016) Sca: a sine cosine algorithm for solving optimization problems. Knowl Based Syst 96:120\u2013133","journal-title":"Knowl Based Syst"},{"key":"9879_CR86","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2021.115079","volume":"181","author":"I Ahmadianfar","year":"2021","unstructured":"Ahmadianfar I, Heidari AA, Gandomi AH, Chu X, Chen H (2021) Run beyond the metaphor: an efficient optimization algorithm based on Runge Kutta method. Expert Syst Appl 181:115079","journal-title":"Expert Syst Appl"},{"key":"9879_CR87","doi-asserted-by":"publisher","DOI":"10.1016\/j.cma.2020.113609","volume":"376","author":"L Abualigah","year":"2021","unstructured":"Abualigah L, Diabat A, Mirjalili S, Abd Elaziz M, Gandomi AH (2021) The arithmetic optimization algorithm. Comput Methods Appl Mech Eng 376:113609","journal-title":"Comput Methods Appl Mech Eng"},{"key":"9879_CR88","doi-asserted-by":"publisher","first-page":"161","DOI":"10.1016\/j.asoc.2017.11.043","volume":"64","author":"R Moghdani","year":"2018","unstructured":"Moghdani R, Salimifard K (2018) Volleyball premier league algorithm. Appl Soft Comput 64:161\u2013185","journal-title":"Appl Soft Comput"},{"issue":"5","key":"9879_CR89","first-page":"514","volume":"13","author":"M Dehghani","year":"2020","unstructured":"Dehghani M, Mardaneh M, Guerrero JM, Malik O, Kumar V (2020) Football game based optimization: an application to solve energy commitment problem. Int J Intell Eng Syst 13(5):514\u2013523","journal-title":"Int J Intell Eng Syst"},{"key":"9879_CR90","first-page":"273","volume":"15","author":"FA Zeidabadi","year":"2022","unstructured":"Zeidabadi FA, Dehghani M (2022) POA: puzzle optimization algorithm. Int J Intell Eng Syst 15:273\u2013281","journal-title":"Int J Intell Eng Syst"},{"issue":"3","key":"9879_CR91","doi-asserted-by":"publisher","first-page":"381","DOI":"10.1109\/TEVC.2009.2033580","volume":"14","author":"AY Lam","year":"2009","unstructured":"Lam AY, Li VO (2009) Chemical-reaction-inspired metaheuristic for optimization. IEEE Trans Evol Comput 14(3):381\u2013399","journal-title":"IEEE Trans Evol Comput"},{"issue":"10","key":"9879_CR92","doi-asserted-by":"publisher","first-page":"13170","DOI":"10.1016\/j.eswa.2011.04.126","volume":"38","author":"B Alatas","year":"2011","unstructured":"Alatas B (2011) Acroa: artificial chemical reaction optimization algorithm for global optimization. Expert Syst Appl 38(10):13170\u201313180","journal-title":"Expert Syst Appl"},{"issue":"5","key":"9879_CR93","doi-asserted-by":"publisher","first-page":"2932","DOI":"10.1016\/j.asoc.2012.03.068","volume":"13","author":"M Abdechiri","year":"2013","unstructured":"Abdechiri M, Meybodi MR, Bahrami H (2013) Gases Brownian motion optimization: an algorithm for optimization (gbmo). Appl Soft Comput 13(5):2932\u20132946","journal-title":"Appl Soft Comput"},{"key":"9879_CR94","doi-asserted-by":"publisher","first-page":"5011","DOI":"10.1007\/s00521-020-05296-6","volume":"33","author":"MA Al-Betar","year":"2021","unstructured":"Al-Betar MA, Alyasseri ZAA, Awadallah MA, Abu Doush I (2021) Coronavirus herd immunity optimizer (chio). Neural Comput Appl 33:5011\u20135042","journal-title":"Neural Comput Appl"},{"key":"9879_CR95","doi-asserted-by":"publisher","first-page":"16150","DOI":"10.1109\/ACCESS.2022.3147821","volume":"10","author":"ON Oyelade","year":"2022","unstructured":"Oyelade ON, Ezugwu AE-S, Mohamed TI, Abualigah L (2022) Ebola optimization search algorithm: a new nature-inspired metaheuristic optimization algorithm. IEEE Access 10:16150\u201316177","journal-title":"IEEE Access"},{"issue":"24","key":"9879_CR96","doi-asserted-by":"publisher","first-page":"22465","DOI":"10.1007\/s00521-022-07639-x","volume":"34","author":"AM Khalid","year":"2022","unstructured":"Khalid AM, Hosny KM, Mirjalili S (2022) Covidoa: a novel evolutionary optimization algorithm based on coronavirus disease replication lifecycle. Neural Comput Appl 34(24):22465\u201322492","journal-title":"Neural Comput Appl"},{"issue":"2","key":"9879_CR97","doi-asserted-by":"publisher","first-page":"383","DOI":"10.1007\/s10115-011-0432-2","volume":"32","author":"W H\u00e4m\u00e4l\u00e4inen","year":"2012","unstructured":"H\u00e4m\u00e4l\u00e4inen W (2012) Kingfisher: an efficient algorithm for searching for both positive and negative dependency rules with statistical significance measures. Knowl Inf Syst 32(2):383\u2013414","journal-title":"Knowl Inf Syst"},{"issue":"4","key":"9879_CR98","doi-asserted-by":"publisher","first-page":"153","DOI":"10.1080\/00306525.1976.9639555","volume":"47","author":"R Douthwaite","year":"1976","unstructured":"Douthwaite R (1976) Fishing techniques and foods of the pied kingfisher on lake Victoria in Uganda. Ostrich 47(4):153\u2013160","journal-title":"Ostrich"},{"key":"9879_CR99","doi-asserted-by":"publisher","first-page":"219","DOI":"10.1007\/BF00569203","volume":"6","author":"H-U Reyer","year":"1980","unstructured":"Reyer H-U (1980) Flexible helper structure as an ecological adaptation in the pied kingfisher (Ceryle rudis rudis L.). Behav Ecol Sociobiol 6:219\u2013227","journal-title":"Behav Ecol Sociobiol"},{"key":"9879_CR100","doi-asserted-by":"crossref","unstructured":"Katzir G, Berman D, Nathan M, Weihs D (2018) Sustained hovering, head stabilization and vision through the water surface in the pied kingfisher (Ceryle rudis), bioRxiv 409201","DOI":"10.1101\/409201"},{"issue":"2","key":"9879_CR101","doi-asserted-by":"publisher","first-page":"123","DOI":"10.2326\/1347-0558-7.2.123","volume":"7","author":"S Kasahara","year":"2008","unstructured":"Kasahara S, Katoh K (2008) Food-niche differentiation in sympatric species of kingfishers, the common kingfisher Alcedo atthis and the greater pied kingfisher Ceryle lugubris. Ornithol Sci 7(2):123\u2013134","journal-title":"Ornithol Sci"},{"key":"9879_CR102","unstructured":"Forsell DJ (1983) Predatory efficiency and energetics of belted kingfishers wintering along the mad river. Master\u2019s thesis, Humboldt State University"},{"issue":"2","key":"9879_CR103","doi-asserted-by":"publisher","first-page":"137","DOI":"10.1007\/BF00609721","volume":"160","author":"MK Moroney","year":"1987","unstructured":"Moroney MK, Pettigrew JD (1987) Some observations on the visual optics of kingfishers (aves, coraciformes, alcedinidae). J Comp Physiol A 160(2):137\u2013149","journal-title":"J Comp Physiol A"},{"key":"9879_CR104","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1186\/s40657-018-0116-7","volume":"9","author":"LH Holbech","year":"2018","unstructured":"Holbech LH, Gbogbo F, Aikins TK (2018) Abundance and prey capture success of Common Terns (Sterna hirundo) and pied kingfishers (Ceryle rudis) in relation to water clarity in south-east coastal Ghana. Avian Res 9:1\u201313","journal-title":"Avian Res"},{"key":"9879_CR105","doi-asserted-by":"publisher","first-page":"56","DOI":"10.1016\/j.jcis.2019.01.070","volume":"541","author":"C Zhang","year":"2019","unstructured":"Zhang C, Zheng Y, Wu Z, Wang J, Shen C, Liu Y, Ren L (2019) Non-wet kingfisher flying in the rain: the water-repellent mechanism of elastic feathers. J Colloid Interface Sci 541:56\u201364","journal-title":"J Colloid Interface Sci"},{"issue":"154","key":"9879_CR106","doi-asserted-by":"publisher","first-page":"20190125","DOI":"10.1098\/rsif.2019.0125","volume":"16","author":"K Crandell","year":"2019","unstructured":"Crandell K, Howe R, Falkingham P (2019) Repeated evolution of drag reduction at the air\u2013water interface in diving kingfishers. J R Soc Interface 16(154):20190125","journal-title":"J R Soc Interface"},{"key":"9879_CR107","volume-title":"Transportation technology","author":"WH Lanier","year":"2019","unstructured":"Lanier WH (2019) Transportation technology. Weigl Publishers, Calgary"},{"issue":"1","key":"9879_CR108","doi-asserted-by":"publisher","first-page":"20160085","DOI":"10.1098\/rsfs.2016.0085","volume":"7","author":"R Siddall","year":"2017","unstructured":"Siddall R, Ortega Ancel A, Kova\u010d M (2017) Wind and water tunnel testing of a morphing aquatic micro air vehicle. Interface Focus 7(1):20160085","journal-title":"Interface Focus"},{"issue":"12","key":"9879_CR109","doi-asserted-by":"publisher","first-page":"965","DOI":"10.1111\/eth.12953","volume":"125","author":"F Mougeot","year":"2019","unstructured":"Mougeot F, Rodr\u00edguez Ramiro J (2019) Commensal association of the common kingfisher with foraging Eurasian otters. Ethology 125(12):965\u2013971","journal-title":"Ethology"},{"key":"9879_CR110","unstructured":"Liang JJ, Qu BY, Suganthan PN (2013) Problem definitions and evaluation criteria for the cec 2014 special session and competition on single objective real-parameter numerical optimization. Computational Intelligence Laboratory, Zhengzhou University, Zhengzhou China and Technical Report, Nanyang Technological University, Singapore 635(2)"},{"key":"9879_CR111","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2020.113377","volume":"152","author":"A Faramarzi","year":"2020","unstructured":"Faramarzi A, Heidarinejad M, Mirjalili S, Gandomi AH (2020) Marine predators algorithm: a nature-inspired metaheuristic. Expert Syst Appl 152:113377","journal-title":"Expert Syst Appl"},{"key":"9879_CR112","doi-asserted-by":"publisher","first-page":"849","DOI":"10.1016\/j.future.2019.02.028","volume":"97","author":"AA Heidari","year":"2019","unstructured":"Heidari AA, Mirjalili S, Faris H, Aljarah I, Mafarja M, Chen H (2019) Harris hawks optimization: algorithm and applications. Future Gener Comput Syst 97:849\u2013872","journal-title":"Future Gener Comput Syst"},{"key":"9879_CR113","doi-asserted-by":"publisher","first-page":"51","DOI":"10.1016\/j.advengsoft.2016.01.008","volume":"95","author":"S Mirjalili","year":"2016","unstructured":"Mirjalili S, Lewis A (2016) The whale optimization algorithm. Adv Eng Softw 95:51\u201367","journal-title":"Adv Eng Softw"},{"key":"9879_CR114","doi-asserted-by":"publisher","first-page":"228","DOI":"10.1016\/j.knosys.2015.07.006","volume":"89","author":"S Mirjalili","year":"2015","unstructured":"Mirjalili S (2015) Moth-flame optimization algorithm: a novel nature-inspired heuristic paradigm. Knowl Based Syst 89:228\u2013249","journal-title":"Knowl Based Syst"},{"key":"9879_CR115","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2020.113389","volume":"151","author":"S Dhargupta","year":"2020","unstructured":"Dhargupta S, Ghosh M, Mirjalili S, Sarkar R (2020) Selective opposition based grey wolf optimization. Expert Syst Appl 151:113389","journal-title":"Expert Syst Appl"},{"key":"9879_CR116","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2020.106642","volume":"212","author":"J Tu","year":"2021","unstructured":"Tu J, Chen H, Liu J, Heidari AA, Zhang X, Wang M, Ruby R, Pham Q-V (2021) Evolutionary biogeography-based whale optimization methods with communication structure: towards measuring the balance. Knowl Based Syst 212:106642","journal-title":"Knowl Based Syst"},{"key":"9879_CR117","doi-asserted-by":"publisher","first-page":"1019","DOI":"10.1016\/j.asoc.2017.09.039","volume":"62","author":"H Nenavath","year":"2018","unstructured":"Nenavath H, Jatoth RK (2018) Hybridizing sine cosine algorithm with differential evolution for global optimization and object tracking. Appl Soft Comput 62:1019\u20131043","journal-title":"Appl Soft Comput"},{"key":"9879_CR118","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2020.114529","volume":"171","author":"C Li","year":"2021","unstructured":"Li C, Li J, Chen H, Heidari AA (2021) Memetic Harris hawks optimization: developments and perspectives on project scheduling and qos-aware web service composition. Expert Syst Appl 171:114529","journal-title":"Expert Syst Appl"},{"key":"9879_CR119","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2020.113612","volume":"158","author":"H Chen","year":"2020","unstructured":"Chen H, Li W, Yang X (2020) A whale optimization algorithm with chaos mechanism based on quasi-opposition for global optimization problems. Expert Syst Appl 158:113612","journal-title":"Expert Syst Appl"},{"key":"9879_CR120","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2022.117629","volume":"205","author":"C Ma","year":"2022","unstructured":"Ma C, Huang H, Fan Q, Wei J, Du Y, Gao W (2022) Grey wolf optimizer based on aquila exploration method. Expert Syst Appl 205:117629","journal-title":"Expert Syst Appl"},{"issue":"1","key":"9879_CR121","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1162\/106365603321828970","volume":"11","author":"N Hansen","year":"2003","unstructured":"Hansen N, M\u00fcller SD, Koumoutsakos P (2003) Reducing the time complexity of the derandomized evolution strategy with covariance matrix adaptation (cma-es). Evol Comput 11(1):1\u201318","journal-title":"Evol Comput"},{"key":"9879_CR122","doi-asserted-by":"crossref","unstructured":"Awad NH, Ali MZ, Suganthan PN (2017) Ensemble sinusoidal differential covariance matrix adaptation with Euclidean neighborhood for solving cec2017 benchmark problems. In: IEEE congress on evolutionary computation (CEC). IEEE, pp 372\u2013379","DOI":"10.1109\/CEC.2017.7969336"},{"key":"9879_CR123","doi-asserted-by":"crossref","unstructured":"Mohamed AW, Hadi AA, Mohamed AK, Awad NH (2020) Evaluating the performance of adaptive gaining sharing knowledge based algorithm on cec 2020 benchmark problems. In: 2020 IEEE congress on evolutionary computation (CEC). IEEE, pp 1\u20138","DOI":"10.1109\/CEC48606.2020.9185901"}],"container-title":["Neural Computing and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-024-09879-5.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00521-024-09879-5\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-024-09879-5.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,11,19]],"date-time":"2024-11-19T04:19:39Z","timestamp":1731989979000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00521-024-09879-5"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,5,16]]},"references-count":123,"alternative-id":["9879"],"URL":"https:\/\/doi.org\/10.1007\/s00521-024-09879-5","relation":{},"ISSN":["0941-0643","1433-3058"],"issn-type":[{"value":"0941-0643","type":"print"},{"value":"1433-3058","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,5,16]]},"assertion":[{"value":"24 October 2023","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"21 February 2024","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"16 May 2024","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declaration"}},{"value":"The authors declare that they have no conflict of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}},{"value":"(1) This material is the authors\u2019 own original work, which has not been previously published elsewhere. (2) The paper is not currently being considered for publication elsewhere. (3) The paper reflects the authors\u2019 own research and analysis in a truthful and complete manner.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethical approval"}}]}}