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Variable neighborhood search based approach for solving multilevel lot-sizing problems

  • Akita Prefectuarl University

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

In this paper, we present an effective approach based on the variable neighborhood search (VNS) for solving multilevel lot-sizing (MLLS) problems. Two kinds of neighborhood search strategies, i.e., move at first improvement (MAFI) and move at best improvement (MABI), are adopted to improve the performance of proposed algorithm. Computational experiments are carried out on 96 benchmark problems to test the optimality against genetic algorithm on identical problems, and also to analyze the mechanism of VNS while it solving MLLS problem. Experimental outcomes show that the VNS algorithm equipped with MABI and emendation by inner corner property enjoys good optimality and high computation effectiveness as well, which is quite competitive to the existing algorithms that have been studied on the MLLS problems.

源语言英语
主期刊名Proceedings of the 9th WSEAS International Conference on Applications of Computer Engineering, ACE '10
119-124
页数6
出版状态已出版 - 2010
活动9th WSEAS International Conference on Applications of Computer Engineering, ACE '10 - Penang, 马来西亚
期限: 23 3月 201025 3月 2010

出版系列

姓名Proceedings of the 9th WSEAS International Conference on Applications of Computer Engineering, ACE '10

会议

会议9th WSEAS International Conference on Applications of Computer Engineering, ACE '10
国家/地区马来西亚
Penang
时期23/03/1025/03/10

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