Adaptive composite operator selection and parameter control for multiobjective evolutionary algorithm
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- 作者：Qiuzhen Lina ; qiuzhlin@szu.edu.cn" class="auth_mail" title="E-mail the corresponding author ; Zhiwang Liua ; Qiao Yana ; Zhihua Dua ; duzh@szu.edu.cn" class="auth_mail" title="E-mail the corresponding author ; Carlos A. Coello Coellob ; Zhengping Lianga ; Wenjun Wanga ; Jianyong Chena
- 关键词：Adaptive composite operator selection ; Adaptive parameters tuning ; Differential evolution ; Decomposition
- 刊名：Information Sciences
- 出版年：2016
- 出版时间：20 April 2016
- 年：2016
- 卷：339
- 期：Complete
- 页码：332-352
- 全文大小：684 K
文摘
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An adaptive composite operator selection strategy is designed for MOEA/D.
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Four evolutionary operator pools are used in our scheme.
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The parameter settings for each operator pool are adjusted adaptively.
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Our algorithm is better than other MOEA/D variants on WFG and UF problems.