{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,12]],"date-time":"2026-03-12T04:10:09Z","timestamp":1773288609151,"version":"3.50.1"},"reference-count":25,"publisher":"Wiley","issue":"1","license":[{"start":{"date-parts":[[2021,5,22]],"date-time":"2021-05-22T00:00:00Z","timestamp":1621641600000},"content-version":"vor","delay-in-days":141,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["91847302"],"award-info":[{"award-number":["91847302"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["51879137"],"award-info":[{"award-number":["51879137"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["51979276"],"award-info":[{"award-number":["51979276"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Computational Intelligence and Neuroscience"],"published-print":{"date-parts":[[2021,1]]},"abstract":"<jats:p>The balance between exploitation and exploration essentially determines the performance of a population\u2010based optimization algorithm, which is also a big challenge in algorithm design. Particle swarm optimization (PSO) has strong ability in exploitation, but is relatively weak in exploration, while crow search algorithm (CSA) is characterized by simplicity and more randomness. This study proposes a new crow swarm optimization algorithm coupling PSO and CSA, which provides the individuals the possibility of exploring the unknown regions under the guidance of another random individual. The proposed CSO algorithm is tested on several benchmark functions, including both unimodal and multimodal problems with different variable dimensions. The performance of the proposed CSO is evaluated by the optimization efficiency, the global search ability, and the robustness to parameter settings, all of which are improved to a great extent compared with either PSO and CSA, as the proposed CSO combines the advantages of PSO in exploitation and that of CSA in exploration, especially for complex high\u2010dimensional problems.<\/jats:p>","DOI":"10.1155\/2021\/6686826","type":"journal-article","created":{"date-parts":[[2021,5,22]],"date-time":"2021-05-22T23:20:06Z","timestamp":1621725606000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":17,"title":["A Novel Crow Swarm Optimization Algorithm (CSO) Coupling Particle Swarm Optimization (PSO) and Crow Search Algorithm (CSA)"],"prefix":"10.1155","volume":"2021","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7197-6751","authenticated-orcid":false,"given":"Ying-Hui","family":"Jia","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2933-0727","authenticated-orcid":false,"given":"Jun","family":"Qiu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6011-9722","authenticated-orcid":false,"given":"Zhuang-Zhuang","family":"Ma","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7007-5284","authenticated-orcid":false,"given":"Fang-Fang","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2021,5,22]]},"reference":[{"key":"e_1_2_8_1_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.swevo.2019.04.008"},{"key":"e_1_2_8_2_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.swevo.2018.01.006"},{"key":"e_1_2_8_3_2","doi-asserted-by":"publisher","DOI":"10.1007\/s00521-017-2988-6"},{"key":"e_1_2_8_4_2","doi-asserted-by":"crossref","unstructured":"KennedyE. R. Particle swarm optimization Proceedings of ICNN\u201995-International Conference on Neural Networks November 1995 Perth WA Australia https:\/\/doi.org\/10.1109\/ICNN.1995.488968.","DOI":"10.1109\/ICNN.1995.488968"},{"key":"e_1_2_8_5_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.cja.2015.04.005"},{"key":"e_1_2_8_6_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2012.11.033"},{"key":"e_1_2_8_7_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.rser.2009.03.007"},{"key":"e_1_2_8_8_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2017.04.025"},{"key":"e_1_2_8_9_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.swevo.2017.12.002"},{"key":"e_1_2_8_10_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.compstruc.2016.03.001"},{"key":"e_1_2_8_11_2","doi-asserted-by":"publisher","DOI":"10.1109\/access.2019.2911629"},{"key":"e_1_2_8_12_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2018.06.040"},{"key":"e_1_2_8_13_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.isatra.2019.09.004"},{"key":"e_1_2_8_14_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2020.114288"},{"key":"e_1_2_8_15_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.est.2019.101040"},{"key":"e_1_2_8_16_2","doi-asserted-by":"publisher","DOI":"10.1007\/s00521-018-3688-6"},{"key":"e_1_2_8_17_2","doi-asserted-by":"publisher","DOI":"10.1002\/nme.6338"},{"key":"e_1_2_8_18_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2019.01.026"},{"key":"e_1_2_8_19_2","doi-asserted-by":"publisher","DOI":"10.1109\/access.2019.2897325"},{"key":"e_1_2_8_20_2","doi-asserted-by":"publisher","DOI":"10.1007\/s00521-018-3637-4"},{"key":"e_1_2_8_21_2","doi-asserted-by":"publisher","DOI":"10.1007\/s00500-019-03988-3"},{"key":"e_1_2_8_22_2","doi-asserted-by":"crossref","unstructured":"BabuN. R. SaikiaL. C. BhagatS. K. andSahaA. Maiden application of hybrid crow-search algorithm with particle swarm optimization in LFC studies Advances in Intelligent Systems and Computing 1164 Proceedings of International Conference on Artificial Intelligence and Applications 2021 427\u2013439 in Englishhttps:\/\/doi.org\/10.1007\/978-981-15-4992-2_40.","DOI":"10.1007\/978-981-15-4992-2_40"},{"key":"e_1_2_8_23_2","doi-asserted-by":"publisher","DOI":"10.1109\/access.2020.2968462"},{"key":"e_1_2_8_24_2","unstructured":"SwagatamD.andSuganthanP. N. Problem definitions and evaluation criteria for CEC 2011 competition on testing evolutionary algorithms on real world optimization problems 2010 Technical Report in English."},{"key":"e_1_2_8_25_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.future.2019.02.028"}],"container-title":["Computational Intelligence and Neuroscience"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/downloads.hindawi.com\/journals\/cin\/2021\/6686826.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/journals\/cin\/2021\/6686826.xml","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/pdf\/10.1155\/2021\/6686826","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,8,6]],"date-time":"2024-08-06T12:40:10Z","timestamp":1722948010000},"score":1,"resource":{"primary":{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/10.1155\/2021\/6686826"}},"subtitle":[],"editor":[{"given":"Jos\u00e9 Alfredo","family":"Hern\u00e1ndez-P\u00e9rez","sequence":"additional","affiliation":[],"role":[{"role":"editor","vocabulary":"crossref"}]}],"short-title":[],"issued":{"date-parts":[[2021,1]]},"references-count":25,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2021,1]]}},"alternative-id":["10.1155\/2021\/6686826"],"URL":"https:\/\/doi.org\/10.1155\/2021\/6686826","archive":["Portico"],"relation":{},"ISSN":["1687-5265","1687-5273"],"issn-type":[{"value":"1687-5265","type":"print"},{"value":"1687-5273","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,1]]},"assertion":[{"value":"2020-12-09","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2021-05-08","order":2,"name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"2021-05-22","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}],"article-number":"6686826"}}