Decomposition-based chemical reaction optimization (CRO) and an extended CRO algorithms for multiobjective optimization

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• 作者：Hongye Li ^{lihongye8@163.com red-lhy@163.com}Author Vitae ; Lei Wang ; ^{wangleeei@163.com}Author Vitae ; Xinhong HeiAuthor Vitae
• 关键词：Multiobjective optimization ; Chemical reaction optimization ; Extended chemical reaction optimization ; Decomposition approach
• 刊名：Journal of Computational Science
• 出版年：2016
• 出版时间：November 2016
• 年：2016
• 卷：17
• 期：part_P1
• 页码：174-204
• 全文大小：10754 K
• 卷排序：17

文摘

A decomposition-based chemical reaction optimization (CRO) metaheuristic algorithm (MOCRO/D) for multiobjective optimization problem (MOP) is proposed. Extended operators for MOCRO/D (MOECRO/D) are proposed that can better optimize the variables related problems. The proposed technique has been tested on 20 benchmark functions and compared with existing techniques. The computational results showed the efficiency of our proposed algorithm. The proposed approach has potential to be further applied to other reliability engineering problems.