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To this end, a set of weight vectors are used to specify several subregions in the objective space, and infeasible solutions are selected from each subregion. Furthermore, a new fitness function is used in this proposed algorithm to evaluate infeasible solutions, which can balance the importance of constraints and objectives. In addition, the infeasible solutions are ranked higher than the feasible solutions to focus on the search in the undeveloped areas for better diversity. After the comparison tests on three benchmark cases and an actual engineering application, EGDCMO has more impressive performance compared with other constrained evolutionary multi-objective algorithms.<\/jats:p>","DOI":"10.1007\/s40747-022-00851-1","type":"journal-article","created":{"date-parts":[[2022,9,14]],"date-time":"2022-09-14T07:02:45Z","timestamp":1663138965000},"page":"1455-1478","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":17,"title":["A constrained multi-objective optimization algorithm using an efficient global diversity strategy"],"prefix":"10.1007","volume":"9","author":[{"given":"Wenyi","family":"Long","sequence":"first","affiliation":[]},{"given":"Huachao","family":"Dong","sequence":"additional","affiliation":[]},{"given":"Peng","family":"Wang","sequence":"additional","affiliation":[]},{"given":"Yan","family":"Huang","sequence":"additional","affiliation":[]},{"given":"Jinglu","family":"Li","sequence":"additional","affiliation":[]},{"given":"Xubo","family":"Yang","sequence":"additional","affiliation":[]},{"given":"Chongbo","family":"Fu","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2022,9,14]]},"reference":[{"issue":"2","key":"851_CR1","doi-asserted-by":"crossref","first-page":"245","DOI":"10.1109\/TEVC.2019.2922419","volume":"24","author":"Y Xiang","year":"2020","unstructured":"Xiang Y, Yang X, Zhou Y, Huang H (2020) Enhancing decomposition-based algorithms by estimation of distribution for constrained optimal software product selection. 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