A modified particle swarm optimization algorithm to mixed-model two-sided assembly line balancing

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• 作者：Yılmaz Delice ; Emel Kızılkaya Aydoğan ; Uğur Özcan…
• 关键词：Assembly line balancing ; Mixed ; model two ; sided assembly lines ; Particle swarm optimization
• 刊名：Journal of Intelligent Manufacturing
• 出版年：2017
• 出版时间：January 2017
• 年：2017
• 卷：28
• 期：1
• 页码：23-36
• 全文大小：
• 刊物类别：Business and Economics
• 刊物主题：Production; Manufacturing, Machines, Tools; Control, Robotics, Mechatronics;
• 出版者：Springer US
• ISSN：1572-8145
• 卷排序：28

文摘

In this paper, a new modified particle swarm optimization algorithm with negative knowledge is proposed to solve the mixed-model two-sided assembly line balancing problem. The proposed approach includes new procedures such as generation procedure which is based on combined selection mechanism and decoding procedure. These new procedures enhance the solution capability of the algorithm while enabling it to search at different points of the solution space, efficiently. Performance of the proposed approach is tested on a set of test problem. The experimental results show that the proposed approach can be acquired distinguished results than the existing solution approaches.