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In addition, at the late phase of evolutionary search, MSEFAS introduces a third stage to efficiently handle the various characteristics of CMOPs by considering the relationship between the constrained Pareto fronts (CPF) and unconstrained Pareto fronts. We compare the proposed framework with eleven state-of-the-art constrained multi-objective evolutionary algorithms on 56 benchmark CMOPs. Our results demonstrate the effectiveness of the proposed framework in handling a wide range of CMOPs, showcasing its potential for solving complex optimization problems.<\/jats:p>","DOI":"10.1007\/s40747-024-01542-9","type":"journal-article","created":{"date-parts":[[2024,7,31]],"date-time":"2024-07-31T20:03:31Z","timestamp":1722456211000},"page":"7711-7740","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Adaptive multi-stage evolutionary search for constrained multi-objective optimization"],"prefix":"10.1007","volume":"10","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6712-9672","authenticated-orcid":false,"given":"Huiting","family":"Li","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1100-0631","authenticated-orcid":false,"given":"Yaochu","family":"Jin","sequence":"additional","affiliation":[]},{"given":"Ran","family":"Cheng","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2024,7,31]]},"reference":[{"key":"1542_CR1","doi-asserted-by":"publisher","first-page":"242","DOI":"10.1016\/j.engstruct.2012.03.038","volume":"41","author":"HS Kim","year":"2012","unstructured":"Kim HS, Kang JW (2012) Semi-active fuzzy control of a wind-excited tall building using multi-objective genetic algorithm. 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