{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,20]],"date-time":"2026-05-20T20:38:06Z","timestamp":1779309486540,"version":"3.51.4"},"reference-count":54,"publisher":"Springer Science and Business Media LLC","issue":"22","license":[{"start":{"date-parts":[[2024,9,2]],"date-time":"2024-09-02T00:00:00Z","timestamp":1725235200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,9,2]],"date-time":"2024-09-02T00:00:00Z","timestamp":1725235200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62176075"],"award-info":[{"award-number":["62176075"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012165","name":"Key Technologies Research and Development Program","doi-asserted-by":"publisher","award":["2022YFB3304000"],"award-info":[{"award-number":["2022YFB3304000"]}],"id":[{"id":"10.13039\/501100012165","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100007129","name":"Natural Science Foundation of Shandong Province","doi-asserted-by":"publisher","award":["ZR2021MF063"],"award-info":[{"award-number":["ZR2021MF063"]}],"id":[{"id":"10.13039\/501100007129","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100007129","name":"Natural Science Foundation of Shandong Province","doi-asserted-by":"publisher","award":["71701187"],"award-info":[{"award-number":["71701187"]}],"id":[{"id":"10.13039\/501100007129","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Appl Intell"],"published-print":{"date-parts":[[2024,11]]},"DOI":"10.1007\/s10489-024-05781-8","type":"journal-article","created":{"date-parts":[[2024,9,2]],"date-time":"2024-09-02T03:16:11Z","timestamp":1725246971000},"page":"11779-11803","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":9,"title":["A novel differential evolution algorithm based on periodic intervention and systematic regulation mechanisms"],"prefix":"10.1007","volume":"54","author":[{"given":"Guanyu","family":"Yuan","sequence":"first","affiliation":[],"role":[{"role":"author","vocab":"crossref"}]},{"given":"Gaoji","family":"Sun","sequence":"additional","affiliation":[],"role":[{"role":"author","vocab":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0076-4054","authenticated-orcid":false,"given":"Libao","family":"Deng","sequence":"additional","affiliation":[],"role":[{"role":"author","vocab":"crossref"}]},{"given":"Chunlei","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocab":"crossref"}]},{"given":"Guoqing","family":"Yang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocab":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2024,9,2]]},"reference":[{"key":"5781_CR1","doi-asserted-by":"crossref","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 Global Optim 11:341\u2013359","journal-title":"J Global Optim"},{"key":"5781_CR2","doi-asserted-by":"crossref","first-page":"107636","DOI":"10.1016\/j.knosys.2021.107636","volume":"235","author":"C Li","year":"2022","unstructured":"Li C, Deng L, Qiao L, Zhang L (2022) An efficient differential evolution algorithm based on orthogonal learning and elites local search mechanisms for numerical optimization. Knowl-Based Syst 235:107636","journal-title":"Knowl-Based Syst"},{"key":"5781_CR3","doi-asserted-by":"crossref","first-page":"101282","DOI":"10.1016\/j.swevo.2023.101282","volume":"78","author":"D Liu","year":"2023","unstructured":"Liu D, He H, Yang Q, Wang Y, Jeon S-W, Zhang J (2023) Function value ranking aware differential evolution for global numerical optimization. Swarm Evol Comput 78:101282","journal-title":"Swarm Evol Comput"},{"key":"5781_CR4","doi-asserted-by":"crossref","first-page":"31046","DOI":"10.1007\/s10489-023-05180-5","volume":"53","author":"D Lv","year":"2023","unstructured":"Lv D, Xiong G, Fu X, Al-Betar MA, Zhang J, Bouchekara HR, Chen H (2023) Exponential hybrid mutation differential evolution for economic dispatch of large-scale power systems considering valve-point effects. Appl Intell 53:31046\u201331064","journal-title":"Appl Intell"},{"key":"5781_CR5","doi-asserted-by":"crossref","first-page":"296","DOI":"10.1109\/TEVC.2022.3168052","volume":"27","author":"P Wang","year":"2023","unstructured":"Wang P, Xue B, Liang J, Zhang M (2023) Differential evolution-based feature selection: a niching-based multiobjective approach. IEEE Trans Evol Comput 27:296\u2013310","journal-title":"IEEE Trans Evol Comput"},{"key":"5781_CR6","doi-asserted-by":"crossref","first-page":"959","DOI":"10.1007\/s10489-023-05179-y","volume":"54","author":"L Wang","year":"2024","unstructured":"Wang L, Li J, Yan X (2024) A variable population size opposition-based learning for differential evolution algorithm and its applications on feature selection. Appl Intell 54:959\u2013984","journal-title":"Appl Intell"},{"key":"5781_CR7","doi-asserted-by":"crossref","first-page":"110073","DOI":"10.1016\/j.knosys.2022.110073","volume":"259","author":"M Dai","year":"2023","unstructured":"Dai M, Feng X, Yu H, Guo W (2023) An opposition-based differential evolution clustering algorithm for emotional preference and migratory behavior optimization. Knowl-Based Syst 259:110073","journal-title":"Knowl-Based Syst"},{"key":"5781_CR8","doi-asserted-by":"crossref","first-page":"101010","DOI":"10.1016\/j.swevo.2021.101010","volume":"68","author":"A Kumar","year":"2022","unstructured":"Kumar A, Biswas PP, Suganthan PN (2022) Differential evolution with orthogonal array-based initialization and a novel selection strategy. Swarm Evol Comput 68:101010","journal-title":"Swarm Evol Comput"},{"key":"5781_CR9","doi-asserted-by":"crossref","first-page":"6603","DOI":"10.1007\/s00521-022-08013-7","volume":"35","author":"P Civicioglu","year":"2023","unstructured":"Civicioglu P, Besdok E (2023) Bernstein-Levy differential evolution algorithm for numerical function optimization. Neural Comput Appl 35:6603\u20136621","journal-title":"Neural Comput Appl"},{"key":"5781_CR10","doi-asserted-by":"crossref","first-page":"121","DOI":"10.1016\/j.ins.2021.11.046","volume":"583","author":"Z Wang","year":"2022","unstructured":"Wang Z, Chen Z, Wang Z, Wei J, Chen X, Li Q, Zheng Y, Sheng W (2022) Adaptive memetic differential evolution with multi-niche sampling and neighborhood crossover strategies for global optimization. Inf Sci 583:121\u2013136","journal-title":"Inf Sci"},{"key":"5781_CR11","doi-asserted-by":"crossref","first-page":"107150","DOI":"10.1016\/j.knosys.2021.107150","volume":"226","author":"Z Zeng","year":"2021","unstructured":"Zeng Z, Zhang M, Chen T, Hong Z (2021) A new selection operator for differential evolution algorithm. Knowl-Based Syst 226:107150","journal-title":"Knowl-Based Syst"},{"key":"5781_CR12","doi-asserted-by":"crossref","first-page":"373","DOI":"10.1016\/j.ins.2022.10.111","volume":"617","author":"Z Zeng","year":"2022","unstructured":"Zeng Z, Zhang H (2022) An evolutionary-state-based selection strategy for enhancing differential evolution algorithm. Inf Sci 617:373\u2013394","journal-title":"Inf Sci"},{"key":"5781_CR13","doi-asserted-by":"crossref","first-page":"110209","DOI":"10.1016\/j.asoc.2023.110209","volume":"138","author":"X Zhang","year":"2023","unstructured":"Zhang X, Liu Q, Qu Y (2023) An adaptive differential evolution algorithm with population size reduction strategy for unconstrained optimization problem. Appl Soft Comput 138:110209","journal-title":"Appl Soft Comput"},{"key":"5781_CR14","doi-asserted-by":"crossref","first-page":"100816","DOI":"10.1016\/j.swevo.2020.100816","volume":"61","author":"J Cheng","year":"2021","unstructured":"Cheng J, Pan Z, Liang H, Gao Z, Gao J (2021) Differential evolution algorithm with fitness and diversity ranking-based mutation operator. Swarm Evol Comput 61:100816","journal-title":"Swarm Evol Comput"},{"key":"5781_CR15","doi-asserted-by":"crossref","unstructured":"Tian M, Yan X, Gao X (2024) An enhanced adaptive differential evolution algorithm with dual performance evaluation metrics for numerical optimization. Swarm Evol Comput 84:101454","DOI":"10.1016\/j.swevo.2023.101454"},{"key":"5781_CR16","doi-asserted-by":"crossref","first-page":"113451","DOI":"10.1016\/j.eswa.2020.113451","volume":"153","author":"Y Li","year":"2020","unstructured":"Li Y, Wang S, Yang B (2020) An improved differential evolution algorithm with dual mutation strategies collaboration. Expert Syst Appl 153:113451","journal-title":"Expert Syst Appl"},{"key":"5781_CR17","doi-asserted-by":"crossref","first-page":"15580","DOI":"10.1007\/s10489-022-04290-w","volume":"53","author":"Y Li","year":"2023","unstructured":"Li Y, Wang S, Yang H, Chen H (2023) Differential evolution with variable leader-adjoint populations. Appl Intell 53:15580\u201315602","journal-title":"Appl Intell"},{"key":"5781_CR18","doi-asserted-by":"crossref","first-page":"101322","DOI":"10.1016\/j.swevo.2023.101322","volume":"80","author":"S Zhang","year":"2023","unstructured":"Zhang S, Zheng S, Zheng L (2023) Differential evolution with objective and dimension knowledge utilization. Swarm Evol Comput 80:101322","journal-title":"Swarm Evol Comput"},{"key":"5781_CR19","doi-asserted-by":"crossref","first-page":"4962","DOI":"10.1007\/s10489-020-02091-7","volume":"51","author":"X Zhong","year":"2021","unstructured":"Zhong X, Cheng P (2021) An elite-guided hierarchical differential evolution algorithm. Appl Intell 51:4962\u20134983","journal-title":"Appl Intell"},{"key":"5781_CR20","doi-asserted-by":"crossref","first-page":"109280","DOI":"10.1016\/j.knosys.2022.109280","volume":"251","author":"S Gupta","year":"2022","unstructured":"Gupta S, Su R (2022) An efficient differential evolution with fitness-based dynamic mutation strategy and control parameters. Knowl-Based Syst 251:109280","journal-title":"Knowl-Based Syst"},{"key":"5781_CR21","doi-asserted-by":"crossref","first-page":"122076","DOI":"10.1016\/j.eswa.2023.122076","volume":"238","author":"Q Yang","year":"2024","unstructured":"Yang Q, Yuan S, Gao H, Zhang W (2024) Differential evolution with migration mechanism and information reutilization for global optimization. Expert Syst Appl 238:122076","journal-title":"Expert Syst Appl"},{"key":"5781_CR22","doi-asserted-by":"crossref","first-page":"106724","DOI":"10.1016\/j.asoc.2020.106724","volume":"100","author":"W Deng","year":"2021","unstructured":"Deng W, Xu J, Song Y, Zhao H (2021) Differential evolution algorithm with wavelet basis function and optimal mutation strategy for complex optimization problem. Appl Soft Comput 100:106724","journal-title":"Appl Soft Comput"},{"key":"5781_CR23","doi-asserted-by":"crossref","first-page":"1721","DOI":"10.1016\/j.ins.2022.07.148","volume":"609","author":"T Liu","year":"2022","unstructured":"Liu T, Xiong G, Mohamed AW, Suganthan PN (2022) Opposition-mutual learning differential evolution with hybrid mutation strategy for large-scale economic load dispatch problems with valve-point effects and multi-fuel options. Inf Sci 609:1721\u20131745","journal-title":"Inf Sci"},{"key":"5781_CR24","doi-asserted-by":"crossref","first-page":"6277","DOI":"10.1007\/s00500-019-03934-3","volume":"24","author":"G Sun","year":"2020","unstructured":"Sun G, Yang B, Yang Z, Xu G (2020) An adaptive differential evolution with combined strategy for global numerical optimization. Soft Comput 24:6277\u20136296","journal-title":"Soft Comput"},{"key":"5781_CR25","doi-asserted-by":"crossref","first-page":"22","DOI":"10.1016\/j.ins.2021.06.035","volume":"575","author":"L Deng","year":"2021","unstructured":"Deng L, Li C, Han R, Zhang L, Qiao L (2021) TPDE: a tri-population differential evolution based on zonal-constraint stepped division mechanism and multiple adaptive guided mutation strategies. Inf Sci 575:22\u201340","journal-title":"Inf Sci"},{"key":"5781_CR26","doi-asserted-by":"crossref","first-page":"101294","DOI":"10.1016\/j.swevo.2023.101294","volume":"78","author":"Y Li","year":"2023","unstructured":"Li Y, Han T, Wang X, Zhou H, Tang S, Huang C, Han B (2023) MjSO: a modified differential evolution with a probability selection mechanism and a directed mutation strategy. Swarm Evol Comput 78:101294","journal-title":"Swarm Evol Comput"},{"key":"5781_CR27","doi-asserted-by":"crossref","first-page":"33","DOI":"10.1016\/j.ins.2021.07.082","volume":"579","author":"X Xia","year":"2021","unstructured":"Xia X, Tong L, Zhang Y, Xu X, Yang H, Gui L, Li Y, Li K (2021) NFDDE: a novelty-hybrid-fitness driving differential evolution algorithm. Inf Sci 579:33\u201354","journal-title":"Inf Sci"},{"key":"5781_CR28","doi-asserted-by":"crossref","first-page":"334","DOI":"10.1007\/s10489-023-05038-w","volume":"54","author":"P Jin","year":"2024","unstructured":"Jin P, Cen J, Feng Q, Ai W, Chen H, Qiao H (2024) Differential evolution with the mutation strategy transformation based on a quartile for numerical optimization. Appl Intell 54:334\u2013356","journal-title":"Appl Intell"},{"key":"5781_CR29","doi-asserted-by":"crossref","first-page":"106004","DOI":"10.1016\/j.engappai.2023.106004","volume":"121","author":"Y Song","year":"2023","unstructured":"Song Y, Zhao G, Zhang B, Chen H, Deng W, Deng W (2023) An enhanced distributed differential evolution algorithm for portfolio optimization problems. Eng Appl Artif Intell 121:106004","journal-title":"Eng Appl Artif Intell"},{"key":"5781_CR30","doi-asserted-by":"crossref","first-page":"121774","DOI":"10.1016\/j.eswa.2023.121774","volume":"238","author":"Y Sun","year":"2024","unstructured":"Sun Y, Yang G (2024) Differential evolution with stage stratification method and dual balanced mutation strategy for real-parameter numerical optimization. Expert Syst Appl 238:121774","journal-title":"Expert Syst Appl"},{"key":"5781_CR31","doi-asserted-by":"crossref","first-page":"116","DOI":"10.1016\/j.ins.2020.11.015","volume":"549","author":"X Xia","year":"2021","unstructured":"Xia X, Gui L, Zhang Y, Xu X, Yu F, Wu H, Wei B, He G, Li Y, Li K (2021) A fitness-based adaptive differential evolution algorithm. Inf Sci 549:116\u2013141","journal-title":"Inf Sci"},{"key":"5781_CR32","doi-asserted-by":"crossref","first-page":"1923","DOI":"10.1007\/s00500-021-06454-1","volume":"26","author":"L Deng","year":"2022","unstructured":"Deng L, Li C, Sun H, Qiao L, Miao X (2022) Dual mutations collaboration mechanism with elites guiding and inferiors eliminating techniques for differential evolution. Soft Comput 26:1923\u20131940","journal-title":"Soft Comput"},{"key":"5781_CR33","doi-asserted-by":"crossref","first-page":"100994","DOI":"10.1016\/j.swevo.2021.100994","volume":"69","author":"W Yi","year":"2022","unstructured":"Yi W, Chen Y, Pei Z, Lu J (2022) Adaptive differential evolution with ensembling operators for continuous optimization problems. Swarm Evol Comput 69:100994","journal-title":"Swarm Evol Comput"},{"key":"5781_CR34","doi-asserted-by":"crossref","first-page":"106388","DOI":"10.1016\/j.knosys.2020.106388","volume":"206","author":"L Deng","year":"2020","unstructured":"Deng L, Li C, Sun G (2020) An adaptive dimension level adjustment framework for differential evolution. Knowl-Based Syst 206:106388","journal-title":"Knowl-Based Syst"},{"key":"5781_CR35","doi-asserted-by":"crossref","first-page":"525","DOI":"10.1007\/s40747-023-01162-9","volume":"10","author":"Y Wang","year":"2024","unstructured":"Wang Y, Yang H, Xu C, Zeng Y, Xu G (2024) An integrated differential evolution of multi-population based on contribution degree. Complex Intell Sys 10:525\u2013550","journal-title":"Complex Intell Sys"},{"key":"5781_CR36","doi-asserted-by":"crossref","first-page":"1136","DOI":"10.1016\/j.ins.2022.06.040","volume":"607","author":"M Wang","year":"2022","unstructured":"Wang M, Ma Y, Wang P (2022) Parameter and strategy adaptive differential evolution algorithm based on accompanying evolution. Inf Sci 607:1136\u20131157","journal-title":"Inf Sci"},{"key":"5781_CR37","doi-asserted-by":"crossref","first-page":"116298","DOI":"10.1016\/j.eswa.2021.116298","volume":"192","author":"L Deng","year":"2022","unstructured":"Deng L, Li C, Lan Y, Sun G, Shang C (2022) Differential evolution with dynamic combination based mutation operator and two-level parameter adaptation strategy. Expert Syst Appl 192:116298","journal-title":"Expert Syst Appl"},{"key":"5781_CR38","doi-asserted-by":"crossref","first-page":"101450","DOI":"10.1016\/j.swevo.2023.101450","volume":"84","author":"Q Yang","year":"2024","unstructured":"Yang Q, Qiao Z, Xu P, Lin X, Gao X, Wang Z, Lu Z, Jeon S, Zhang J (2024) Triple competitive differential evolution for global numerical optimization. Swarm Evol Comput 84:101450","journal-title":"Swarm Evol Comput"},{"key":"5781_CR39","doi-asserted-by":"crossref","first-page":"105312","DOI":"10.1016\/j.knosys.2019.105312","volume":"191","author":"Z Liao","year":"2020","unstructured":"Liao Z, Gong W, Wang L, Yan X, Hu C (2020) A decomposition-based differential evolution with reinitialization for nonlinear equations systems. Knowl-Based Syst 191:105312","journal-title":"Knowl-Based Syst"},{"key":"5781_CR40","doi-asserted-by":"crossref","first-page":"108209","DOI":"10.1016\/j.knosys.2022.108209","volume":"241","author":"X Yan","year":"2022","unstructured":"Yan X, Tian M (2022) Differential evolution with two-level adaptive mechanism for numerical optimization. Knowl-Based Syst 241:108209","journal-title":"Knowl-Based Syst"},{"key":"5781_CR41","doi-asserted-by":"crossref","first-page":"847","DOI":"10.1007\/s40747-023-01186-1","volume":"10","author":"L Xie","year":"2024","unstructured":"Xie L, Wang Y, Tang S, Huang C, Li Y, Dong K, Song T (2024) A novel adaptive parameter strategy differential evolution algorithm and its application in midcourse guidance maneuver decision-making. Complex Intell Sys 10:847\u2013868","journal-title":"Complex Intell Sys"},{"key":"5781_CR42","doi-asserted-by":"crossref","first-page":"123634","DOI":"10.1016\/j.eswa.2024.123634","volume":"249","author":"X Lin","year":"2024","unstructured":"Lin X, Meng Z (2024) An adaptative differential evolution with enhanced diversity and restart mechanism. Expert Syst Appl 249:123634","journal-title":"Expert Syst Appl"},{"key":"5781_CR43","doi-asserted-by":"crossref","first-page":"81","DOI":"10.1016\/j.ins.2020.05.108","volume":"539","author":"L Deng","year":"2020","unstructured":"Deng L, Zhang L, Fu N, Sun H, Qiao L (2020) ERG-DE: An elites regeneration framework for differential evolution. Inf Sci 539:81\u2013103","journal-title":"Inf Sci"},{"key":"5781_CR44","doi-asserted-by":"crossref","first-page":"101122","DOI":"10.1016\/j.swevo.2022.101122","volume":"75","author":"G Sun","year":"2022","unstructured":"Sun G, Yang G, Zhang G (2022) Two-level parameter cooperation-based population regeneration framework for differential evolution. Swarm Evol Comput 75:101122","journal-title":"Swarm Evol Comput"},{"key":"5781_CR45","doi-asserted-by":"crossref","first-page":"15","DOI":"10.1016\/j.ins.2023.01.120","volume":"629","author":"C Li","year":"2023","unstructured":"Li C, Sun G, Deng L, Qiao L, Yang G (2023) A population state evaluation-based improvement framework for differential evolution. Inf Sci 629:15\u201338","journal-title":"Inf Sci"},{"key":"5781_CR46","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 635:2014"},{"key":"5781_CR47","unstructured":"Awad NH, Ali MZ, Liang JJ, Qu BY, Suganthan PN, Problem definitions and evaluation criteria for the CEC, (2017) special session and competition on single objective bound constrained real-parameter numerical optimization. National University of Defense Technology, Changsha, Hunan, PR China and Kyungpook National University, Daegu, South Korea and Nanyang Technological University, Singapore, Technical Report 2016:1\u201334"},{"key":"5781_CR48","doi-asserted-by":"crossref","first-page":"253","DOI":"10.1007\/s13042-017-0711-7","volume":"10","author":"AW Mohamed","year":"2019","unstructured":"Mohamed AW, Mohamed AK (2019) Adaptive guided differential evolution algorithm with novel mutation for numerical optimization. Int J Mach Learn Cybern 10:253\u2013277","journal-title":"Int J Mach Learn Cybern"},{"key":"5781_CR49","doi-asserted-by":"crossref","first-page":"104796","DOI":"10.1016\/j.knosys.2019.06.004","volume":"182","author":"W He","year":"2019","unstructured":"He W, Gong W, Wang L, Yan X, Hu C (2019) Fuzzy neighborhood-based differential evolution with orientation for nonlinear equation systems. Knowl-Based Syst 182:104796","journal-title":"Knowl-Based Syst"},{"key":"5781_CR50","doi-asserted-by":"crossref","first-page":"27","DOI":"10.1007\/s00500-020-05425-2","volume":"25","author":"X Zhao","year":"2021","unstructured":"Zhao X, Feng S, Hao J, Zuo X, Zhang Y (2021) Neighborhood opposition-based differential evolution with Gaussian perturbation. Soft Comput 25:27\u201346","journal-title":"Soft Comput"},{"key":"5781_CR51","doi-asserted-by":"crossref","first-page":"110091","DOI":"10.1016\/j.knosys.2022.110091","volume":"259","author":"S Gupta","year":"2023","unstructured":"Gupta S, Su R (2023) Multiple individual guided differential evolution with time varying and feedback information-based control parameters. Knowl-Based Syst 259:110091","journal-title":"Knowl-Based Syst"},{"key":"5781_CR52","doi-asserted-by":"crossref","first-page":"113377","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":"5781_CR53","doi-asserted-by":"crossref","first-page":"101311","DOI":"10.1016\/j.swevo.2023.101311","volume":"79","author":"G Sun","year":"2023","unstructured":"Sun G, Han R, Deng L, Li C, Yang G (2023) Hierarchical structure-based joint operations algorithm for global optimization. Swarm Evol Comput 79:101311","journal-title":"Swarm Evol Comput"},{"key":"5781_CR54","doi-asserted-by":"crossref","first-page":"123299","DOI":"10.1016\/j.eswa.2024.123299","volume":"247","author":"J Liu","year":"2024","unstructured":"Liu J, Fu Y, Li Y, Sun L, Zhou H (2024) An effective theoretical and experimental analysis method for the improved slime mould algorithm. Expert Syst Appl 247:123299","journal-title":"Expert Syst Appl"}],"container-title":["Applied Intelligence"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10489-024-05781-8.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s10489-024-05781-8\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10489-024-05781-8.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,9,18]],"date-time":"2024-09-18T15:28:45Z","timestamp":1726673325000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s10489-024-05781-8"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,9,2]]},"references-count":54,"journal-issue":{"issue":"22","published-print":{"date-parts":[[2024,11]]}},"alternative-id":["5781"],"URL":"https:\/\/doi.org\/10.1007\/s10489-024-05781-8","relation":{},"ISSN":["0924-669X","1573-7497"],"issn-type":[{"value":"0924-669X","type":"print"},{"value":"1573-7497","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,9,2]]},"assertion":[{"value":"15 August 2024","order":1,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"2 September 2024","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 declare that they have no conflict of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing Interest"}}]}}