{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,19]],"date-time":"2026-03-19T19:44:25Z","timestamp":1773949465128,"version":"3.50.1"},"reference-count":48,"publisher":"MDPI AG","issue":"9","license":[{"start":{"date-parts":[[2024,9,6]],"date-time":"2024-09-06T00:00:00Z","timestamp":1725580800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100002858","name":"China Postdoctoral Science Foundation","doi-asserted-by":"publisher","award":["2020M681255"],"award-info":[{"award-number":["2020M681255"]}],"id":[{"id":"10.13039\/501100002858","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Symmetry"],"abstract":"<jats:p>The osprey optimization algorithm (OOA) is a metaheuristic algorithm with a simple framework, which is inspired by the hunting process of ospreys. To enhance its searching capabilities and overcome the drawbacks of susceptibility to local optima and slow convergence speed, this paper proposes a modified osprey optimization algorithm (MOOA) by integrating multiple advanced strategies, including a L\u00e9vy flight strategy, a Brownian motion strategy and an RFDB selection method. The L\u00e9vy flight strategy and Brownian motion strategy are used to enhance the algorithm\u2019s exploration ability. The RFDB selection method is conducive to search for the global optimal solution, which is a symmetrical strategy. Two sets of benchmark functions from CEC2017 and CEC2022 are employed to evaluate the optimization performance of the proposed method. By comparing with eight other optimization algorithms, the experimental results show that the MOOA has significant improvements in solution accuracy, stability, and convergence speed. Moreover, the efficacy of the MOOA in tackling real-world optimization problems is demonstrated using five engineering optimization design problems. Therefore, the MOOA has the potential to solve real-world complex optimization problems more effectively.<\/jats:p>","DOI":"10.3390\/sym16091173","type":"journal-article","created":{"date-parts":[[2024,9,6]],"date-time":"2024-09-06T10:29:45Z","timestamp":1725618585000},"page":"1173","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":12,"title":["A Modified Osprey Optimization Algorithm for Solving Global Optimization and Engineering Optimization Design Problems"],"prefix":"10.3390","volume":"16","author":[{"given":"Liping","family":"Zhou","sequence":"first","affiliation":[{"name":"College of Emergency Technology, Zhejiang College of Security Technology, No. 2555 Ouhai Avenue, Ouhai District, Wenzhou 325016, China"}]},{"given":"Xu","family":"Liu","sequence":"additional","affiliation":[{"name":"Postdoctoral Rover, Shanghai University of Finance and Economics, No. 777 Guoding Road, Yangpu District, Shanghai 200433, China"}]},{"given":"Ruiqing","family":"Tian","sequence":"additional","affiliation":[{"name":"College of New Energy Equipment, Zhejiang College of Security Technology, No. 2555 Ouhai Avenue, Ouhai District, Wenzhou 325016, China"}]},{"given":"Wuqi","family":"Wang","sequence":"additional","affiliation":[{"name":"College of Emergency Technology, Zhejiang College of Security Technology, No. 2555 Ouhai Avenue, Ouhai District, Wenzhou 325016, China"}]},{"given":"Guowei","family":"Jin","sequence":"additional","affiliation":[{"name":"College of Emergency Technology, Zhejiang College of Security Technology, No. 2555 Ouhai Avenue, Ouhai District, Wenzhou 325016, China"}]}],"member":"1968","published-online":{"date-parts":[[2024,9,6]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"116200","DOI":"10.1016\/j.cma.2023.116200","article-title":"Mantis search algorithm: A novel bio-inspired algorithm for global optimization and engineering design problems","volume":"415","author":"Mohamed","year":"2023","journal-title":"Comput. 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