Mixed-model parallel two-sided assembly line balancing problem: A flexible agent-based ant colony optimization approach
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- 作者：Ibrahim Kucukkoca ; b ; I.Kucukkoc@exeter.ac.uk" class="auth_mail" title="E-mail the corresponding author ; ikucukkoc@balikesir.edu.tr" class="auth_mail" title="E-mail the corresponding author ; David Z. Zhanga ; c ; 1 ; D.Z.Zhang@exeter.ac.uk" class="auth_mail" title="E-mail the corresponding author
- 关键词：Assembly line balancing ; Mixed-model lines ; Parallel lines ; Two-sided lines ; Agent-based system ; Ant colony optimization
- 刊名：Computers & Industrial Engineering
- 出版年：2016
- 出版时间：July 2016
- 年：2016
- 卷：97
- 期：Complete
- 页码：58-72
- 全文大小：1736 K
文摘
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Mixed-model parallel two-sided assembly line balancing problem (MPTALBP) is studied.
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Agent based ant colony approach enhanced with 10 heuristics is developed.
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Ants have opportunity to randomly select one of those heuristic search behaviors.
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A new modified lower bound formulation is proposed for MPTALBP.
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Statistical tests prove the benefits of the proposed system and the algorithm.