Total energy consumption optimization via genetic algorithm in flexible manufacturing systems

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• 作者：Xiaoling Li ; Keyi Xing ; ^{kyxing@mail.xjtu.edu.cn} ; Yunchao Wu ; Xinnian Wang ; Jianchao Luo
• 关键词：Flexible manufacturing system ; Genetic algorithm ; Petri net ; Total energy consumption optimization ; Scheduling
• 刊名：Computers & Industrial Engineering
• 出版年：2017
• 出版时间：February 2017
• 年：2017
• 卷：104
• 期：Complete
• 页码：188-200
• 全文大小：2011 K
• 卷排序：104

文摘

Take total energy consumption of flexible manufacturing systems as an objective. Consider two ways of dividing resources states. Two energy consumption functions are proposed. Deadlock situation is avoided by adopting an optimal deadlock avoidance policy. Experiments on a typical FMS and an industrial stamping system are provided.