The review of multiple evolutionary searches and multi-objective evolutionary algorithms
Over the past decade, subdividing evolutionary search into multiple local evolutionary searches has been identified as an effective method to search for optimal solutions of multi-objective optimization problems (MOPs). The existing multi-objective evolutionary algorithms that benefit from the multi...
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| Format: | Article |
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Kluwer Academic Publishers
2015
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