Multi-objective control chart design optimization using NSGA-III and MOPSO enhanced with DEA and TOPSIS
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- 作者：Madjid Tavanaa ; b ; tavana@lasalle.edu" class="auth_mail" title="E-mail the corresponding author ; ; Zhaojun Lic ; zhaojun.li@wne.edu" class="auth_mail" title="E-mail the corresponding author ; Mohammadsadegh Mobinc ; mm337076@wne.edu" class="auth_mail" title="E-mail the corresponding author ; Mohammad Komakid ; gxk152@case.edu" class="auth_mail" title="E-mail the corresponding author ; Ehsan Teymouriane ; teymoure@oregonstate.edu" class="auth_mail" title="E-mail the corresponding author
- 关键词：Economical control chart design ; NSGA-III algorithm ; MOPSO algorithm ; Data envelopment analysis ; TOPSIS
- 刊名：Expert Systems with Applications
- 出版年：2016
- 出版时间：15 May 2016
- 年：2016
- 卷：50
- 期：Complete
- 页码：17-39
- 全文大小：2702 K
文摘
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We use NSGA-III and MOPSO algorithms to solve a multi-objective X-bar control chart design problem.
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NSGA-III and MOPSO are modified to handle a constrained multi-objective problem with discrete and continuous variables.
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Four DEA models are proposed to reduce the number of Pareto optimal solutions to a manageable size.
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TOPSIS is used to prioritize the efficient optimal solutions.
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Several metrics are used to compare the performance of NSGA-III and MOPSO algorithms.