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所属单位：计算机科学与技术学院/人工智能学院/软件学院

发表刊物：Proc. - Int. Conf. Ind. Inf. - Comput. Technol., Intell. Technol., Ind. Inf. Integr., ICIICII

摘要：How to balance the diversity and convergence plays an important role on the performance of a multiobjective evolutionary optimizer. Due to the loss of selection pressure and the exponential expansion in the high-dimensional objective space, it is even more difficult for an optimizer to balance between convergence and diversity for a many-objective optimization problem. To address this issue, in this paper, we propose a cache mechanism to improve the convergence and a coverage-based method for maintaining better diversity. Based on these two mechanisms, a many-objective evolutionary algorithm is further proposed. The experimental studies are conducted to verify the effectiveness of the proposed approach. © 2017 IEEE.

是否译文：否

发表时间：2018-03-29

合写作者：Sun, Haoran,Sulaman, Muhammad,Fan, Zhun

通讯作者：蔡昕烨