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• W2832779309 abstract "A wide range of real-world problems are multi-objective optimization problems (MOPs). Multi-objective evolutionary algorithms (MOEAs) have been proposed to solve MOPs, but the search process deteriorates with the increase of MOPs' dimension of decision variables. In order to solve the problem, firstly, the decision variables are divided into different groups by adopting a fast interdependency identification algorithm; secondly, a novel cooperative co-evolutionary algorithm is used to solve MOPs. Experiment results on large-scale problems show that the proposed algorithm is effective." @default.
• W2832779309 created "2018-07-19" @default.
• W2832779309 creator A5011639251 @default.
• W2832779309 creator A5043101779 @default.
• W2832779309 date "2018-07-06" @default.
• W2832779309 modified "2023-10-11" @default.
• W2832779309 title "A cooperative co-evolutionary algorithm for large-scale multi-objective optimization problems" @default.
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• W2832779309 doi "https://doi.org/10.1145/3205651.3208250" @default.
• W2832779309 hasPublicationYear "2018" @default.
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