Energy-efficient permutation flow shop scheduling problem using a hybrid multi-objective backtracking search algorithm

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• 作者：Chao Lu ; Liang Gao ; Xinyu Li ; ^{lixinyu@hust.edu.cn} ; Quanke Pan ; Qi Wang
• 关键词：Energy efficiency ; Permutation flow shop scheduling ; Controllable transportation time ; Backtracking search algorithm ; Multi-objective optimization
• 刊名：Journal of Cleaner Production
• 出版年：2017
• 出版时间：15 February 2017
• 年：2017
• 卷：144
• 期：Complete
• 页码：228-238
• 全文大小：1295 K
• 卷排序：144

文摘

An energy-efficient scheduling with controllable transportation times is modeled. A new multiobjective backtracking search algorithm is proposed for this model. An effective energy saving strategy is proposed. The HMOBSA outperforms other well-known MOEAs on solving the studied problem.