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Chen, Xiaoji; Shi, Chuan; Zhou, Aimin; Wu, Bin; Sheng, Pengcheng
IEEE access, 2019, Letnik: 7Journal Article
In recent years, the multiobjective evolutionary algorithm based on decomposition (MOEA/D) has shown superior performance in solving multiobjective optimization problems (MOPs). In MOEA/D, the adaptive replacement strategy (ARS) plays a key role in balancing convergence and diversity. However, existing ARSs do not effectively balance convergence and diversity. To overcome this disadvantage, we propose a mechanism for adapting neighborhood and global replacement. This mechanism determines whether a neighborhood or global replacement strategy should be employed in the search process. Furthermore, we design an offspring generation strategy to generate high-quality solutions. We call this new algorithm framework MOEA/D-ARS. The experimental results suggest that the proposed algorithm performs better than certain state-of-the-art MOEAs.
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Leto | Faktor vpliva | Izdaja | Kategorija | Razvrstitev | ||||
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JCR | SNIP | JCR | SNIP | JCR | SNIP | JCR | SNIP |
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in: SICRIS
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