{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,28]],"date-time":"2026-03-28T15:56:06Z","timestamp":1774713366174,"version":"3.50.1"},"reference-count":36,"publisher":"MDPI AG","issue":"5","license":[{"start":{"date-parts":[[2024,4,23]],"date-time":"2024-04-23T00:00:00Z","timestamp":1713830400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"National Natural Science Foundation of China","award":["62073093"],"award-info":[{"award-number":["62073093"]}]},{"name":"National Natural Science Foundation of China","award":["61633008"],"award-info":[{"award-number":["61633008"]}]},{"name":"National Natural Science Foundation of China","award":["JC2018019"],"award-info":[{"award-number":["JC2018019"]}]},{"name":"National Natural Science Foundation of China","award":["3072020CFT0403"],"award-info":[{"award-number":["3072020CFT0403"]}]},{"name":"Heilongjiang Province Science Fund for Distinguished Young Scholars","award":["62073093"],"award-info":[{"award-number":["62073093"]}]},{"name":"Heilongjiang Province Science Fund for Distinguished Young Scholars","award":["61633008"],"award-info":[{"award-number":["61633008"]}]},{"name":"Heilongjiang Province Science Fund for Distinguished Young Scholars","award":["JC2018019"],"award-info":[{"award-number":["JC2018019"]}]},{"name":"Heilongjiang Province Science Fund for Distinguished Young Scholars","award":["3072020CFT0403"],"award-info":[{"award-number":["3072020CFT0403"]}]},{"name":"Basic Scientific Research Fund","award":["62073093"],"award-info":[{"award-number":["62073093"]}]},{"name":"Basic Scientific Research Fund","award":["61633008"],"award-info":[{"award-number":["61633008"]}]},{"name":"Basic Scientific Research Fund","award":["JC2018019"],"award-info":[{"award-number":["JC2018019"]}]},{"name":"Basic Scientific Research Fund","award":["3072020CFT0403"],"award-info":[{"award-number":["3072020CFT0403"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Algorithms"],"abstract":"<jats:p>To tackle the problem of the brain storm optimization (BSO) algorithm\u2019s suboptimal capability for avoiding local optima, which contributes to its inadequate optimization precision, we developed a flock decision mutation approach that substantially enhances the efficacy of the BSO algorithm. Furthermore, to solve the problem of insufficient BSO algorithm population diversity, we introduced a strategy that utilizes the good point set to enhance the initial population\u2019s quality. Simultaneously, we substituted the K-means clustering approach with spectral clustering to improve the clustering accuracy of the algorithm. This work introduced an enhanced version of the brain storm optimization algorithm founded on a flock decision mutation strategy (FDIBSO). The improved algorithm was compared against contemporary leading algorithms through the CEC2018. The experimental section additionally employs the AUV intelligence evaluation as an application case. It addresses the combined weight model under various dimensional settings to substantiate the efficacy of the FDIBSO algorithm further. The findings indicate that FDIBSO surpasses BSO and other enhanced algorithms for addressing intricate optimization challenges.<\/jats:p>","DOI":"10.3390\/a17050172","type":"journal-article","created":{"date-parts":[[2024,4,23]],"date-time":"2024-04-23T03:20:41Z","timestamp":1713842441000},"page":"172","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Improved Brain Storm Optimization Algorithm Based on Flock Decision Mutation Strategy"],"prefix":"10.3390","volume":"17","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5087-5655","authenticated-orcid":false,"given":"Yanchi","family":"Zhao","sequence":"first","affiliation":[{"name":"College of Intelligent Systems Science and Engineering, Harbin Engineering University, Harbin 150001, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jianhua","family":"Cheng","sequence":"additional","affiliation":[{"name":"College of Intelligent Systems Science and Engineering, Harbin Engineering University, Harbin 150001, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jing","family":"Cai","sequence":"additional","affiliation":[{"name":"Beijing Institute of Space Long March Vehicle, Beijing 100081, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2024,4,23]]},"reference":[{"key":"ref_1","first-page":"12","article-title":"U.S. underwater unmanned vehicle development and its impact on U.S. military operational thinking","volume":"6","author":"Liu","year":"2020","journal-title":"Aerosp. 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