An Adaptive Reference Vector-Guided Evolutionary Algorithm Using Growing Neural Gas for Many-Objective Optimization of Irregular Problems

标题
An Adaptive Reference Vector-Guided Evolutionary Algorithm Using Growing Neural Gas for Many-Objective Optimization of Irregular Problems
作者
关键词
-
出版物
IEEE Transactions on Cybernetics
Volume 52, Issue 5, Pages 2698-2711
出版商
Institute of Electrical and Electronics Engineers (IEEE)
发表日期
2020-10-02
DOI
10.1109/tcyb.2020.3020630

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