{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T14:41:49Z","timestamp":1740148909632,"version":"3.37.3"},"reference-count":29,"publisher":"Springer Science and Business Media LLC","issue":"5","license":[{"start":{"date-parts":[[2022,8,2]],"date-time":"2022-08-02T00:00:00Z","timestamp":1659398400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2022,8,2]],"date-time":"2022-08-02T00:00:00Z","timestamp":1659398400000},"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":["62066019","61903089"],"award-info":[{"award-number":["62066019","61903089"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004479","name":"Natural Science Foundation of Jiangxi Province","doi-asserted-by":"publisher","award":["20202BABL202020","20202BAB202014"],"award-info":[{"award-number":["20202BABL202020","20202BAB202014"]}],"id":[{"id":"10.13039\/501100004479","id-type":"DOI","asserted-by":"publisher"}]},{"name":"National Key Research and Development Program of China","award":["2020YFB1713700"],"award-info":[{"award-number":["2020YFB1713700"]}]},{"name":"Graduate Innovation Foundation of JiangXi University of Science and Technology","award":["XY2021-S094"],"award-info":[{"award-number":["XY2021-S094"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Evol. Intel."],"published-print":{"date-parts":[[2023,10]]},"DOI":"10.1007\/s12065-022-00755-6","type":"journal-article","created":{"date-parts":[[2022,8,2]],"date-time":"2022-08-02T03:27:28Z","timestamp":1659410848000},"page":"1487-1502","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["A self-learning particle swarm optimization algorithm with multi-strategy selection"],"prefix":"10.1007","volume":"16","author":[{"given":"Bo","family":"Sun","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wei","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yue","family":"Zhao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ying","family":"Huang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2022,8,2]]},"reference":[{"issue":"2","key":"755_CR1","doi-asserted-by":"publisher","first-page":"397","DOI":"10.1109\/TAP.2004.823969","volume":"52","author":"J Robinson","year":"2004","unstructured":"Robinson J, Rahmat-Samii Y (2004) Particle swarm optimization in electromagnetics. IEEE Trans Antennas Propag 52(2):397\u2013407","journal-title":"IEEE Trans Antennas Propag"},{"key":"755_CR2","doi-asserted-by":"publisher","first-page":"229","DOI":"10.1016\/j.asoc.2017.05.034","volume":"59","author":"Q Qin","year":"2017","unstructured":"Qin Q, Cheng S, Chu X et al (2017) Solving non-convex\/non-smooth economic load dispatch problems via an enhanced particle swarm optimization. Appl Soft Comput 59:229\u2013242","journal-title":"Appl Soft Comput"},{"key":"755_CR3","doi-asserted-by":"publisher","first-page":"14","DOI":"10.1016\/j.swevo.2015.10.011","volume":"28","author":"P Das","year":"2016","unstructured":"Das P, Behera HS, Panigrahi BK (2016) A hybridization of an improved particle swarm optimization and gravitational search algorithm for multi-robot path planning. Swarm Evol Comput 28:14\u201328","journal-title":"Swarm Evol Comput"},{"key":"755_CR4","doi-asserted-by":"publisher","first-page":"218","DOI":"10.1016\/j.ins.2017.09.015","volume":"422","author":"K Chen","year":"2018","unstructured":"Chen K, Zhou F, Yin L et al (2018) A hybrid particle swarm optimizer with sine cosine acceleration coefficients. Inf Sci 422:218\u2013241","journal-title":"Inf Sci"},{"issue":"1","key":"755_CR5","doi-asserted-by":"publisher","first-page":"188","DOI":"10.1080\/21642583.2021.1891153","volume":"9","author":"L Xu","year":"2021","unstructured":"Xu L, Song B, Cao M (2021) An improved particle swarm optimization algorithm with adaptive weighted delay velocity. Syst Sci Control Eng 9(1):188\u2013197","journal-title":"Syst Sci Control Eng"},{"key":"755_CR6","doi-asserted-by":"publisher","first-page":"209","DOI":"10.1016\/j.swevo.2017.10.004","volume":"39","author":"Y Chen","year":"2018","unstructured":"Chen Y, Li L, Peng H et al (2018) Dynamic multi-swarm differential learning particle swarm optimizer. Swarm Evol Comput 39:209\u2013221","journal-title":"Swarm Evol Comput"},{"key":"755_CR7","doi-asserted-by":"publisher","first-page":"340","DOI":"10.1016\/j.asoc.2017.05.060","volume":"59","author":"P Mohapatra","year":"2017","unstructured":"Mohapatra P, Das KN, Roy S (2017) A modified competitive swarm optimizer for large scale optimization problems. Appl Soft Comput 59:340\u2013362","journal-title":"Appl Soft Comput"},{"issue":"5","key":"755_CR8","first-page":"1919","volume":"9","author":"AAA Esmin","year":"2013","unstructured":"Esmin AAA, Matwin S (2013) HPSOM: a hybrid particle swarm optimization algorithm with genetic mutation. Int J Innov Comput Inf Control 9(5):1919\u20131934","journal-title":"Int J Innov Comput Inf Control"},{"key":"755_CR9","doi-asserted-by":"publisher","first-page":"50","DOI":"10.1016\/j.ins.2012.05.017","volume":"216","author":"MG Epitropakis","year":"2012","unstructured":"Epitropakis MG, Plagianakos VP, Vrahatis MN (2012) Evolving cognitive and social experience in particle swarm optimization through differential evolution: a hybrid approach. Inf Sci 216:50\u201392","journal-title":"Inf Sci"},{"issue":"1","key":"755_CR10","doi-asserted-by":"publisher","first-page":"71","DOI":"10.1007\/978-3-642-21515-5_9","volume":"6728","author":"Z Zhou","year":"2011","unstructured":"Zhou Z, Shi YH (2011) Inertia weight adaption in particle swarm optimization algorithm. Lect Notes Comput Sci 6728(1):71\u201379","journal-title":"Lect Notes Comput Sci"},{"issue":"6","key":"755_CR11","doi-asserted-by":"publisher","first-page":"1362","DOI":"10.1109\/TSMCB.2009.2015956","volume":"39","author":"Z Zhan","year":"2009","unstructured":"Zhan Z, Zhang J, Li Y et al (2009) Adaptive particle swarm optimization. IEEE Trans Syst Man Cybern 39(6):1362\u20131381","journal-title":"IEEE Trans Syst Man Cybern"},{"key":"755_CR12","doi-asserted-by":"publisher","first-page":"239","DOI":"10.1007\/978-981-13-0761-4_24","volume-title":"Harmony search and nature inspired optimization algorithms","author":"A Agrawal","year":"2019","unstructured":"Agrawal A, Tripathi S (2019) Particle swarm optimization with probabilistic inertia weight. In: Yadav N, Yadav A, Bansal J, Deep K, Kim J (eds) Harmony search and nature inspired optimization algorithms. Springer, Singapore, pp 239\u2013248"},{"key":"755_CR13","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2020.113353","volume":"152","author":"H Liu","year":"2020","unstructured":"Liu H, Zhang XW, Tu LP (2020) A modified particle swarm optimization using adaptive strategy. Expert Syst Appl 152:113353","journal-title":"Expert Syst Appl"},{"key":"755_CR14","doi-asserted-by":"publisher","first-page":"179","DOI":"10.1016\/j.ins.2020.02.034","volume":"529","author":"W Li","year":"2020","unstructured":"Li W, Meng X, Huang Y et al (2020) Multipopulation cooperative particle swarm optimization with a mixed mutation strategy. Inf Sci 529:179\u2013196","journal-title":"Inf Sci"},{"issue":"3","key":"755_CR15","doi-asserted-by":"publisher","first-page":"1223","DOI":"10.1007\/s40747-020-00263-z","volume":"7","author":"W Li","year":"2021","unstructured":"Li W, Meng X, Huang Y et al (2021) Knowledge-guided multiobjective particle swarm optimization with fusion learning strategies. Complex Intell Syst 7(3):1223\u20131239","journal-title":"Complex Intell Syst"},{"key":"755_CR16","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2020.3029748","author":"N Zeng","year":"2020","unstructured":"Zeng N, Wang Z, Liu W (2020) A dynamic neighborhood-based switching particle swarm optimization algorithm. IEEE Trans Cybern. https:\/\/doi.org\/10.1109\/TCYB.2020.3029748","journal-title":"IEEE Trans Cybern"},{"key":"755_CR17","volume-title":"Swarm intelligence","author":"J Kennedy","year":"2001","unstructured":"Kennedy J, Eberhart RC (2001) Swarm intelligence. Morgan Kaufman Academic Press, San Matteo"},{"key":"755_CR18","doi-asserted-by":"crossref","unstructured":"Kennedy J, Eberhart RC (1995) Particle swarm optimization. In: Proceedings of IEEE international conference on neural networks, pp 1942\u20131948.","DOI":"10.1109\/ICNN.1995.488968"},{"key":"755_CR19","unstructured":"Wright S (1932) The roles of mutation, inbreeding, crossbreeding, and selection in evolution. 355\u2013366"},{"key":"755_CR20","doi-asserted-by":"publisher","first-page":"514","DOI":"10.1016\/j.neucom.2019.12.141","volume":"458","author":"W Li","year":"2021","unstructured":"Li W, Meng X, Huang Y (2021) Fitness distance correlation and mixed search strategy for differential evolution. Neurocomputing 458:514\u2013525","journal-title":"Neurocomputing"},{"key":"755_CR21","first-page":"21","volume":"95\u201302","author":"T Jones","year":"1995","unstructured":"Jones T, Forrest S (1995) Genetic algorithms and heuristic search. Santa Fe Inst Techn Rep 95\u201302:21","journal-title":"Santa Fe Inst Techn Rep"},{"key":"755_CR22","unstructured":"Jones T, Forrest S (1995) Fitness distance correlation as a measure of problem difficulty for genetic algorithms. In: Proceedings of the sixth international conference on genetic algorithms, pp 184\u2013192"},{"key":"755_CR23","doi-asserted-by":"publisher","first-page":"333","DOI":"10.1016\/j.asoc.2014.06.034","volume":"23","author":"H Hakl","year":"2014","unstructured":"Hakl H, Uguz H (2014) A novel particle swarm optimization algorithm with L\u00e9vy Flight. Appl Soft Comput 23:333\u2013345","journal-title":"Appl Soft Comput"},{"key":"755_CR24","doi-asserted-by":"publisher","first-page":"248","DOI":"10.1016\/j.asoc.2016.02.018","volume":"43","author":"R Jensi","year":"2016","unstructured":"Jensi R, Jiji W (2016) An enhanced particle swarm optimization with L\u00e9vy Flight for global optimization. Appl Soft Comput 43:248\u2013261","journal-title":"Appl Soft Comput"},{"issue":"2","key":"755_CR25","first-page":"150","volume":"4","author":"MXS Jamil Yang","year":"2013","unstructured":"Jamil Yang MXS (2013) A literature survey of benchmark functions for global optimization problems. Mathematics 4(2):150\u2013194","journal-title":"Mathematics"},{"key":"755_CR26","doi-asserted-by":"publisher","first-page":"397","DOI":"10.1007\/s10489-012-0420-6","volume":"39","author":"H Mohammad","year":"2013","unstructured":"Mohammad H, Mohammad RM, Mohammad ME (2013) Adaptive cooperative particle swarm optimizer. Appl Intell 39:397\u2013420","journal-title":"Appl Intell"},{"issue":"24","key":"755_CR27","doi-asserted-by":"publisher","first-page":"7519","DOI":"10.1007\/s00500-016-2307-7","volume":"21","author":"X Chen","year":"2017","unstructured":"Chen X, Tianfield H, Mei C et al (2017) Biogeography based learning particle swarm optimization. Soft Comput 21(24):7519\u20137541","journal-title":"Soft Comput"},{"issue":"3","key":"755_CR28","doi-asserted-by":"publisher","first-page":"281","DOI":"10.1109\/TEVC.2005.857610","volume":"10","author":"JJ Liang","year":"2006","unstructured":"Liang JJ, Qin A, Suganthan PN et al (2006) Comprehensive learning particle swarm optimizer for global optimization of multimodal functions. IEEE Trans Evol Comput 10(3):281\u2013295","journal-title":"IEEE Trans Evol Comput"},{"key":"755_CR29","doi-asserted-by":"publisher","first-page":"43","DOI":"10.1016\/j.ins.2014.08.039","volume":"291","author":"R Cheng","year":"2015","unstructured":"Cheng R, Jin Y (2015) A social learning particle swarm optimization algorithm for scalable optimization. Inf Sci 291:43\u201360","journal-title":"Inf Sci"}],"container-title":["Evolutionary Intelligence"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s12065-022-00755-6.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s12065-022-00755-6\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s12065-022-00755-6.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,9,25]],"date-time":"2023-09-25T09:30:08Z","timestamp":1695634208000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s12065-022-00755-6"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,8,2]]},"references-count":29,"journal-issue":{"issue":"5","published-print":{"date-parts":[[2023,10]]}},"alternative-id":["755"],"URL":"https:\/\/doi.org\/10.1007\/s12065-022-00755-6","relation":{},"ISSN":["1864-5909","1864-5917"],"issn-type":[{"type":"print","value":"1864-5909"},{"type":"electronic","value":"1864-5917"}],"subject":[],"published":{"date-parts":[[2022,8,2]]},"assertion":[{"value":"24 March 2022","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"4 June 2022","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"28 June 2022","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"2 August 2022","order":4,"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 there is no conflict of interests.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interests"}}]}}