Integration of electromagnetism with multi-objective evolutionary algorithms for RCPSP
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- 作者：Jing Xiao ; xiaojing@scnu.edu.cn" class="auth_mail" title="E-mail the corresponding author ; Zhou Wu wz30230@163.com" class="auth_mail" title="E-mail the corresponding author ; Xi-Xi Hong jessehong@163.com" class="auth_mail" title="E-mail the corresponding author ; Jian-Chao Tang michealtang@163.com" class="auth_mail" title="E-mail the corresponding author ; Yong Tang ytang@scnu.edu.cn" class="auth_mail" title="E-mail the corresponding author
- 关键词：Multiple objective programming ; Heuristics ; Resource-constrained project scheduling ; Electromagnetism ; Evolutionary algorithms
- 刊名：European Journal of Operational Research
- 出版年：2016
- 出版时间：16 May 2016
- 年：2016
- 卷：251
- 期：1
- 页码：22-35
- 全文大小：1425 K
文摘
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Electromagnetism (EM) is integrated with multi-objective evolutionary algorithms (MOEAs).
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Performance of EM integration to NSGA-II, SPEA2 and MOEA/D for RCPSP is compared.
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Employment of EM to NSGA-II is the most effective.
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EM does not improve the performance of MOEA/D on RCPSP.
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Explanation of why EM heuristics plays different roles in the studied algorithms is given.