{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,4,10]],"date-time":"2025-04-10T23:40:05Z","timestamp":1744328405861,"version":"3.40.4"},"reference-count":61,"publisher":"Springer Science and Business Media LLC","issue":"5","license":[{"start":{"date-parts":[[2025,4,10]],"date-time":"2025-04-10T00:00:00Z","timestamp":1744243200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,4,10]],"date-time":"2025-04-10T00:00:00Z","timestamp":1744243200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"name":"JST through the Establishment of University Fellowships towards the Creation of Science Technology Innovation","award":["JPMJFS2115","JPMJFS2115","JPMJFS2115"],"award-info":[{"award-number":["JPMJFS2115","JPMJFS2115","JPMJFS2115"]}]},{"name":"Japan Society for the Promotion of Science (JSPS) KAKENHI","award":["JP22H03643"],"award-info":[{"award-number":["JP22H03643"]}]},{"name":"Japan Science and Technology Agency (JST) Support for Pioneering Research Initiated by the Next Generation","award":["JPMJSP2145"],"award-info":[{"award-number":["JPMJSP2145"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["J Supercomput"],"DOI":"10.1007\/s11227-025-07095-z","type":"journal-article","created":{"date-parts":[[2025,4,10]],"date-time":"2025-04-10T16:23:26Z","timestamp":1744302206000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Improved spherical search algorithm with memory-based dynamic population for optimization"],"prefix":"10.1007","volume":"81","author":[{"given":"Sicheng","family":"Liu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sichen","family":"Tao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kaiyu","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhenyu","family":"Lei","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shangce","family":"Gao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2025,4,10]]},"reference":[{"key":"7095_CR1","doi-asserted-by":"publisher","first-page":"3612","DOI":"10.1007\/s10489-018-1153-y","volume":"48","author":"W Qian","year":"2018","unstructured":"Qian W, Chai J, Xu Z, Zhang Z (2018) Differential evolution algorithm with multiple mutation strategies based on roulette wheel selection. Appl Intell 48:3612\u20133629","journal-title":"Appl Intell"},{"issue":"2","key":"7095_CR2","doi-asserted-by":"publisher","first-page":"663","DOI":"10.1007\/s11831-023-09997-8","volume":"31","author":"I Malhotra","year":"2024","unstructured":"Malhotra I, Goel N (2024) Infectious disease modeling: from traditional to evolutionary algorithms. Arch Comput Methods Eng 31(2):663\u2013699","journal-title":"Arch Comput Methods Eng"},{"issue":"5","key":"7095_CR3","doi-asserted-by":"publisher","first-page":"1092","DOI":"10.1109\/JAS.2024.124320","volume":"11","author":"M Zhou","year":"2024","unstructured":"Zhou M, Cui M, Xu D, Zhu S, Zhao Z, Abusorrah A (2024) Evolutionary optimization methods for high-dimensional expensive problems: a survey. IEEE\/CAA J Autom Sin 11(5):1092\u20131105","journal-title":"IEEE\/CAA J Autom Sin"},{"issue":"1","key":"7095_CR4","doi-asserted-by":"publisher","first-page":"3","DOI":"10.1109\/4235.585888","volume":"1","author":"T Back","year":"1997","unstructured":"Back T, Hammel U, Schwefel H-P (1997) Evolutionary computation: comments on the history and current state. IEEE Trans Evol Comput 1(1):3\u201317","journal-title":"IEEE Trans Evol Comput"},{"issue":"3","key":"7095_CR5","doi-asserted-by":"publisher","first-page":"1245","DOI":"10.1007\/s12065-023-00822-6","volume":"17","author":"B Alhijawi","year":"2024","unstructured":"Alhijawi B, Awajan A (2024) Genetic algorithms: theory, genetic operators, solutions, and applications. Evol Intel 17(3):1245\u20131256","journal-title":"Evol Intel"},{"key":"7095_CR6","doi-asserted-by":"publisher","DOI":"10.1016\/j.enconman.2022.116174","volume":"269","author":"Z Lei","year":"2022","unstructured":"Lei Z, Gao S, Wang Y, Yu Y, Guo L (2022) An adaptive replacement strategy-incorporated particle swarm optimizer for wind farm layout optimization. Energy Convers Manag 269:116174","journal-title":"Energy Convers Manag"},{"issue":"3","key":"7095_CR7","doi-asserted-by":"publisher","first-page":"1522","DOI":"10.1007\/s42235-024-00498-3","volume":"21","author":"T Zheng","year":"2024","unstructured":"Zheng T, Li H, He H, Lei Z, Gao S (2024) An adaptive strategy-incorporated integer genetic algorithm for wind farm layout optimization. J Bionic Eng 21(3):1522\u20131540","journal-title":"J Bionic Eng"},{"issue":"2","key":"7095_CR8","doi-asserted-by":"publisher","first-page":"531","DOI":"10.1007\/s40435-023-01172-y","volume":"12","author":"S Pranupa","year":"2024","unstructured":"Pranupa S, Sriram A, Nagaraja Rao S (2024) Wind farm layout optimization approach using bio-inspired meta-heuristic algorithm to minimize wake effect. Int J Dyn Control 12(2):531\u2013550","journal-title":"Int J Dyn Control"},{"issue":"3","key":"7095_CR9","doi-asserted-by":"publisher","first-page":"417","DOI":"10.1109\/TEVC.2021.3095481","volume":"26","author":"Z Lei","year":"2022","unstructured":"Lei Z, Gao S, Zhang Z, Zhou M, Cheng J (2022) MO4: a many-objective evolutionary algorithm for protein structure prediction. IEEE Trans Evol Comput 26(3):417\u2013430","journal-title":"IEEE Trans Evol Comput"},{"key":"7095_CR10","doi-asserted-by":"publisher","first-page":"352","DOI":"10.1007\/s10489-018-1281-4","volume":"49","author":"R Kabir","year":"2019","unstructured":"Kabir R, Islam R (2019) Chemical reaction optimization for rna structure prediction. Appl Intell 49:352\u2013375","journal-title":"Appl Intell"},{"key":"7095_CR11","doi-asserted-by":"publisher","DOI":"10.1016\/j.enconman.2020.113784","volume":"230","author":"S Gao","year":"2021","unstructured":"Gao S, Wang K, Tao S, Jin T, Dai H, Cheng J (2021) A state-of-the-art differential evolution algorithm for parameter estimation of solar photovoltaic models. Energy Convers Manag 230:113784","journal-title":"Energy Convers Manag"},{"issue":"10","key":"7095_CR12","doi-asserted-by":"publisher","first-page":"11799","DOI":"10.1007\/s10489-022-03977-4","volume":"53","author":"EH Houssein","year":"2023","unstructured":"Houssein EH, Hassan MH, Kamel S, Hussain K, Hashim FA (2023) Modified l\u00e9vy flight distribution algorithm for global optimization and parameters estimation of modified three-diode photovoltaic model. Appl Intell 53(10):11799\u201311819","journal-title":"Appl Intell"},{"issue":"1","key":"7095_CR13","doi-asserted-by":"publisher","first-page":"3867","DOI":"10.1038\/s41598-024-53582-3","volume":"14","author":"PA Kumari","year":"2024","unstructured":"Kumari PA, Basha CH, Puppala R, Fathima F, Dhanamjayulu C, Chinthaginjala R, Mohammad F, Khan B (2024) Application of dso algorithm for estimating the parameters of triple diode model-based solar pv system. Sci Rep 14(1):3867","journal-title":"Sci Rep"},{"key":"7095_CR14","doi-asserted-by":"crossref","unstructured":"Sudholt D (2020) The benefits of population diversity in evolutionary algorithms: a survey of rigorous runtime analyses. Theory of evolutionary computation: recent developments in discrete optimization, 359\u2013404","DOI":"10.1007\/978-3-030-29414-4_8"},{"key":"7095_CR15","doi-asserted-by":"crossref","unstructured":"Liu Y, Tang T, Zhu Z, Zeng X, Zou Q, Li K (2025) Quality scores compression of genomic sequencing data: a comprehensive review and performance evaluation. IEEE transactions on computational biology and bioinformatics","DOI":"10.1109\/TCBBIO.2025.3539629"},{"issue":"3","key":"7095_CR16","doi-asserted-by":"publisher","first-page":"2908","DOI":"10.1007\/s10489-022-03555-8","volume":"53","author":"VQ Hien","year":"2023","unstructured":"Hien VQ, Dao TC, Binh HTT (2023) A greedy search based evolutionary algorithm for electric vehicle routing problem. Appl Intell 53(3):2908\u20132922","journal-title":"Appl Intell"},{"key":"7095_CR17","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2022.109909","volume":"132","author":"HT Rauf","year":"2023","unstructured":"Rauf HT, Gao J, Almadhor A, Haider A, Zhang Y-D, Al-Turjman F (2023) Multi population-based chaotic differential evolution for multi-modal and multi-objective optimization problems. Appl Soft Comput 132:109909","journal-title":"Appl Soft Comput"},{"key":"7095_CR18","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2021.108345","volume":"117","author":"L Yin","year":"2022","unstructured":"Yin L, Sun Z (2022) Distributed multi-objective grey wolf optimizer for distributed multi-objective economic dispatch of multi-area interconnected power systems. Appl Soft Comput 117:108345","journal-title":"Appl Soft Comput"},{"key":"7095_CR19","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2019.105734","volume":"85","author":"A Kumar","year":"2019","unstructured":"Kumar A, Misra RK, Singh D, Mishra S, Das S (2019) The spherical search algorithm for bound-constrained global optimization problems. Appl Soft Comput 85:105734","journal-title":"Appl Soft Comput"},{"key":"7095_CR20","doi-asserted-by":"crossref","unstructured":"Li Y-X, Zhan Z-H, Jin H, Zhang J (2019) Cloudde-based distributed differential evolution for solving dynamic optimization problems. In: 2019 Tenth International Conference on Intelligent Control and Information Processing (ICICIP), pp 94\u201399. IEEE","DOI":"10.1109\/ICICIP47338.2019.9012183"},{"key":"7095_CR21","doi-asserted-by":"crossref","unstructured":"Zhan Z-H, Shi L, Tan KC, Zhang J (2022) A survey on evolutionary computation for complex continuous optimization. Artificial intelligence review, 1\u201352","DOI":"10.1007\/s10462-021-10042-y"},{"key":"7095_CR22","doi-asserted-by":"publisher","DOI":"10.1016\/j.aei.2022.101829","volume":"55","author":"S Aslan","year":"2023","unstructured":"Aslan S, Erkin T (2023) A multi-population immune plasma algorithm for path planning of unmanned combat aerial vehicle. Adv Eng Inform 55:101829","journal-title":"Adv Eng Inform"},{"key":"7095_CR23","doi-asserted-by":"publisher","DOI":"10.1016\/j.swevo.2021.100987","volume":"69","author":"J Zheng","year":"2022","unstructured":"Zheng J, Zhang Z, Zou J, Yang S, Ou J, Hu Y (2022) A dynamic multi-objective particle swarm optimization algorithm based on adversarial decomposition and neighborhood evolution. Swarm Evol Comput 69:100987","journal-title":"Swarm Evol Comput"},{"key":"7095_CR24","doi-asserted-by":"publisher","DOI":"10.1016\/j.swevo.2018.10.005","volume":"50","author":"W Zhang","year":"2019","unstructured":"Zhang W, Zhang W, Yen GG, Jing H (2019) A cluster-based clonal selection algorithm for optimization in dynamic environment. Swarm Evol Comput 50:100454","journal-title":"Swarm Evol Comput"},{"key":"7095_CR25","doi-asserted-by":"publisher","first-page":"44372","DOI":"10.1109\/ACCESS.2019.2906121","volume":"7","author":"X-W Luo","year":"2019","unstructured":"Luo X-W, Wang Z-J, Guan R-C, Zhan Z-H, Gao Y (2019) A distributed multiple populations framework for evolutionary algorithm in solving dynamic optimization problems. IEEE Access 7:44372\u201344390","journal-title":"IEEE Access"},{"key":"7095_CR26","doi-asserted-by":"publisher","first-page":"118","DOI":"10.1016\/j.swevo.2019.02.004","volume":"46","author":"Y Wang","year":"2019","unstructured":"Wang Y, Yu Y, Gao S, Pan H, Yang G (2019) A hierarchical gravitational search algorithm with an effective gravitational constant. Swarm Evol Comput 46:118\u2013139","journal-title":"Swarm Evol Comput"},{"key":"7095_CR27","doi-asserted-by":"crossref","unstructured":"Kumar A, Das S, Zelinka I (2020) A self-adaptive spherical search algorithm for real-world constrained optimization problems. In: Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion (GECCO), pp 13\u201314","DOI":"10.1145\/3377929.3398186"},{"issue":"9","key":"7095_CR28","doi-asserted-by":"publisher","first-page":"10448","DOI":"10.1007\/s10489-021-02803-7","volume":"52","author":"RP Parouha","year":"2022","unstructured":"Parouha RP, Verma P (2022) A systematic overview of developments in differential evolution and particle swarm optimization with their advanced suggestion. Appl Intell 52(9):10448\u201310492","journal-title":"Appl Intell"},{"key":"7095_CR29","doi-asserted-by":"crossref","unstructured":"Dhal P, Azad C (2022) A comprehensive survey on feature selection in the various fields of machine learning. Applied intelligence, 1\u201339","DOI":"10.1007\/s10489-021-02550-9"},{"key":"7095_CR30","doi-asserted-by":"crossref","unstructured":"Li P, Hao J, Tang H, Fu X, Zhen Y, Tang K (2024) Bridging evolutionary algorithms and reinforcement learning: a comprehensive survey on hybrid algorithms. IEEE Transactions on evolutionary computation","DOI":"10.1109\/TEVC.2024.3443913"},{"key":"7095_CR31","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/s12293-024-00413-7","volume":"16","author":"W Wang","year":"2024","unstructured":"Wang W, Wei Z, Huang T, Gao X, Gao W (2024) A distributed individuals based multimodal multi-objective optimization differential evolution algorithm. Memetic Comput 16:1\u201313","journal-title":"Memetic Comput"},{"key":"7095_CR32","first-page":"141","volume":"11","author":"S Siuly","year":"2016","unstructured":"Siuly S, Li Y, Zhang Y (2016) EEG signal analysis and classification. IEEE Trans Neural Syst Rehabilit Eng 11:141\u2013144","journal-title":"IEEE Trans Neural Syst Rehabilit Eng"},{"issue":"1","key":"7095_CR33","doi-asserted-by":"publisher","first-page":"24","DOI":"10.1007\/s12530-024-09640-2","volume":"16","author":"C Fan","year":"2025","unstructured":"Fan C, Wang Z, Zhang J, Zhao J, Meng X (2025) Meta-heuristic algorithms for influence maximization: a survey. Evol Syst 16(1):24","journal-title":"Evol Syst"},{"key":"7095_CR34","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2024.121347","volume":"686","author":"Z Cui","year":"2025","unstructured":"Cui Z, Wu Y, Zhao T, Zhang W, Chen J (2025) A two-stage accelerated search strategy for large-scale multi-objective evolutionary algorithm. Inf Sci 686:121347","journal-title":"Inf Sci"},{"key":"7095_CR35","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2023.119656","volume":"649","author":"Z Cai","year":"2023","unstructured":"Cai Z, Yang X, Zhou M, Zhan Z-H, Gao S (2023) Toward explicit control between exploration and exploitation in evolutionary algorithms: a case study of differential evolution. Inf Sci 649:119656","journal-title":"Inf Sci"},{"key":"7095_CR36","doi-asserted-by":"crossref","unstructured":"Li Y, Li D, Gong W, Gu Q (2025) Multiobjective multitask optimization via diversity-and convergence-oriented knowledge transfer. IEEE transactions on systems, man, and cybernetics: systems","DOI":"10.1109\/TSMC.2024.3520526"},{"key":"7095_CR37","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2024.121397","volume":"688","author":"J Wang","year":"2025","unstructured":"Wang J, Zheng Y, Zhang Z, Peng H, Wang H (2025) A novel multi-state reinforcement learning-based multi-objective evolutionary algorithm. Inf Sci 688:121397","journal-title":"Inf Sci"},{"issue":"4","key":"7095_CR38","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/3524495","volume":"55","author":"S Jiang","year":"2022","unstructured":"Jiang S, Zou J, Yang S, Yao X (2022) Evolutionary dynamic multi-objective optimisation: a survey. ACM Comput Surv 55(4):1\u201347","journal-title":"ACM Comput Surv"},{"issue":"12","key":"7095_CR39","doi-asserted-by":"publisher","first-page":"8519","DOI":"10.1109\/TII.2022.3165636","volume":"18","author":"G-G Wang","year":"2022","unstructured":"Wang G-G, Gao D, Pedrycz W (2022) Solving multiobjective fuzzy job-shop scheduling problem by a hybrid adaptive differential evolution algorithm. IEEE Trans Ind Inf 18(12):8519\u20138528","journal-title":"IEEE Trans Ind Inf"},{"key":"7095_CR40","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2024.111677","volume":"161","author":"S Tao","year":"2024","unstructured":"Tao S, Wang K, Jin T, Wu Z, Lei Z, Gao S (2024) Spherical search algorithm with memory-guided population stage-wise control for bound-constrained global optimization problems. Appl Soft Comput 161:111677","journal-title":"Appl Soft Comput"},{"key":"7095_CR41","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2022.119495","volume":"217","author":"C He","year":"2023","unstructured":"He C, Zhang Y, Gong D, Ji X (2023) A review of surrogate-assisted evolutionary algorithms for expensive optimization problems. Expert Syst Appl 217:119495","journal-title":"Expert Syst Appl"},{"key":"7095_CR42","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2022.118834","volume":"213","author":"Y Song","year":"2023","unstructured":"Song Y, Cai X, Zhou X, Zhang B, Chen H, Li Y, Deng W, Deng W (2023) Dynamic hybrid mechanism-based differential evolution algorithm and its application. Expert Syst Appl 213:118834","journal-title":"Expert Syst Appl"},{"key":"7095_CR43","doi-asserted-by":"crossref","unstructured":"Branke J (1999) Memory enhanced evolutionary algorithms for changing optimization problems. In: Proceedings of the 1999 Congress on Evolutionary Computation-CEC99 (Cat. No. 99TH8406), vol. 3, pp 1875\u20131882. IEEE","DOI":"10.1109\/CEC.1999.785502"},{"key":"7095_CR44","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2022.109845","volume":"132","author":"K Wang","year":"2023","unstructured":"Wang K, Wang Y, Tao S, Cai Z, Lei Z, Gao S (2023) Spherical search algorithm with adaptive population control for global continuous optimization problems. Appl Soft Comput 132:109845","journal-title":"Appl Soft Comput"},{"key":"7095_CR45","doi-asserted-by":"crossref","unstructured":"Yazdani D, Yazdani D, Blanco-Davis E, Nguyen TT (2024) A survey of multi-population optimization algorithms for tracking the moving optimum in dynamic environments. Journal of membrane computing, pp 1\u201323","DOI":"10.1007\/s41965-024-00163-y"},{"issue":"5","key":"7095_CR46","doi-asserted-by":"publisher","first-page":"945","DOI":"10.1109\/TEVC.2009.2014613","volume":"13","author":"J Zhang","year":"2009","unstructured":"Zhang J, Sanderson AC (2009) JADE: adaptive differential evolution with optional external archive. IEEE Trans Evol Comput 13(5):945\u2013958","journal-title":"IEEE Trans Evol Comput"},{"key":"7095_CR47","doi-asserted-by":"publisher","DOI":"10.1016\/j.swevo.2023.101466","volume":"85","author":"J Liu","year":"2024","unstructured":"Liu J, Sarker R, Elsayed S, Essam D, Siswanto N (2024) Large-scale evolutionary optimization: a review and comparative study. Swarm Evol Comput 85:101466","journal-title":"Swarm Evol Comput"},{"key":"7095_CR48","doi-asserted-by":"crossref","unstructured":"Tanabe R, Fukunaga A (2013) Success-history based parameter adaptation for differential evolution. In: 2013 IEEE congress on evolutionary computation, pp 71\u201378. IEEE","DOI":"10.1109\/CEC.2013.6557555"},{"issue":"6","key":"7095_CR49","doi-asserted-by":"publisher","first-page":"3954","DOI":"10.1109\/TSMC.2019.2956121","volume":"51","author":"S Gao","year":"2019","unstructured":"Gao S, Yu Y, Wang Y, Wang J, Cheng J, Zhou M (2019) Chaotic local search-based differential evolution algorithms for optimization. IEEE Trans Syst Man Cybern Syst 51(6):3954\u20133967","journal-title":"IEEE Trans Syst Man Cybern Syst"},{"key":"7095_CR50","doi-asserted-by":"crossref","unstructured":"Zhang X, Liu S, Zhao Z, Yang S (2024) A decomposition-based evolutionary algorithm with clustering and hierarchical estimation for multi-objective fuzzy flexible jobshop scheduling. IEEE transactions on evolutionary computation","DOI":"10.1109\/TEVC.2024.3359120"},{"key":"7095_CR51","unstructured":"Tao S, Zhao R, Wang K, Gao S (2024) An efficient reconstructed differential evolution variant by some of the current state-of-the-art strategies for solving single objective bound constrained problems. arXiv preprint arXiv:2404.16280"},{"issue":"2","key":"7095_CR52","doi-asserted-by":"publisher","first-page":"282","DOI":"10.3390\/math13020282","volume":"13","author":"S Tao","year":"2025","unstructured":"Tao S, Liu S, Zhao R, Yang Y, Todo H, Yang H (2025) A state-of-the-art fractional order-driven differential evolution for wind farm layout optimization. Mathematics 13(2):282","journal-title":"Mathematics"},{"issue":"5","key":"7095_CR53","doi-asserted-by":"publisher","first-page":"2791","DOI":"10.1109\/TCYB.2022.3153964","volume":"53","author":"J-Y Li","year":"2023","unstructured":"Li J-Y, Du K-J, Zhan Z-H, Wang H, Zhang J (2023) Distributed differential evolution with adaptive resource allocation. IEEE Trans Cybern 53(5):2791\u20132804","journal-title":"IEEE Trans Cybern"},{"key":"7095_CR54","doi-asserted-by":"crossref","unstructured":"Sallam KM, Elsayed SM, Chakrabortty RK, Ryan MJ (2020) Improved multi-operator differential evolution algorithm for solving unconstrained problems. In: 2020 IEEE congress on evolutionary computation (CEC), pp 1\u20138. IEEE","DOI":"10.1109\/CEC48606.2020.9185577"},{"issue":"12","key":"7095_CR55","doi-asserted-by":"publisher","first-page":"4862","DOI":"10.1109\/TCYB.2019.2943928","volume":"50","author":"X Xia","year":"2020","unstructured":"Xia X, Gui L, Yu F, Wu H, Wei B, Zhang Y-L, Zhan Z-H (2020) Triple archives particle swarm optimization. IEEE Trans Cybern 50(12):4862\u20134875","journal-title":"IEEE Trans Cybern"},{"key":"7095_CR56","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2021.107134","volume":"102","author":"X Chen","year":"2021","unstructured":"Chen X, Tianfield H, Du W (2021) Bee-foraging learning particle swarm optimization. Appl Soft Comput 102:107134","journal-title":"Appl Soft Comput"},{"key":"7095_CR57","first-page":"83","volume":"108","author":"S Liu","year":"2024","unstructured":"Liu S, Wang K, Yang H, Zheng T, Lei Z, Jia M, Gao S (2024) Hierarchical chaotic wingsuit flying search algorithm with balanced exploitation and exploration for optimization. IEICE Trans Fundam Electron Commun Comput Sci 108:83","journal-title":"IEICE Trans Fundam Electron Commun Comput Sci"},{"key":"7095_CR58","doi-asserted-by":"publisher","DOI":"10.1016\/j.swevo.2020.100671","volume":"54","author":"B Morales-Casta\u00f1eda","year":"2020","unstructured":"Morales-Casta\u00f1eda B, Zaldivar D, Cuevas E, Fausto F, Rodr\u00edguez A (2020) A better balance in metaheuristic algorithms: does it exist? Swarm Evol Comput 54:100671","journal-title":"Swarm Evol Comput"},{"issue":"1","key":"7095_CR59","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":"7095_CR60","doi-asserted-by":"publisher","DOI":"10.1016\/j.rcim.2024.102942","volume":"94","author":"R Zhao","year":"2025","unstructured":"Zhao R, Tao S, Li P (2025) Safety-efficiency integrated assembly: the next-stage adaptive task allocation and planning framework for human-robot collaboration. Robot Comput Integr Manuf 94:102942","journal-title":"Robot Comput Integr Manuf"},{"issue":"23","key":"7095_CR61","doi-asserted-by":"publisher","first-page":"3762","DOI":"10.3390\/math12233762","volume":"12","author":"S Tao","year":"2024","unstructured":"Tao S, Yang Y, Zhao R, Todo H, Tang Z (2024) Competitive elimination improved differential evolution for wind farm layout optimization problems. Mathematics 12(23):3762","journal-title":"Mathematics"}],"container-title":["The Journal of Supercomputing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11227-025-07095-z.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11227-025-07095-z\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11227-025-07095-z.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,4,10]],"date-time":"2025-04-10T23:04:36Z","timestamp":1744326276000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11227-025-07095-z"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,4,10]]},"references-count":61,"journal-issue":{"issue":"5","published-online":{"date-parts":[[2025,4]]}},"alternative-id":["7095"],"URL":"https:\/\/doi.org\/10.1007\/s11227-025-07095-z","relation":{},"ISSN":["1573-0484"],"issn-type":[{"value":"1573-0484","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,4,10]]},"assertion":[{"value":"18 February 2025","order":1,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"10 April 2025","order":2,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors have no relevant financial or nonfinancial interests to disclose.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}],"article-number":"726"}}