A multi-objective genetic algorithm for solving cell formation problem using a fuzzy goal programming approach

被引：1
|
作者：
Shahram Saeidi
Maghsud Solimanpur
Iraj Mahdavi
Nikbakhsh Javadian
机构：
[1] Islamic Azad University,Department of Computer Engineering, Tabriz Branch
[2] Urmia University,Faculty of Engineering
[3] Mazandaran University of Science and Technology,Department of Industrial Engineering
来源：
The International Journal of Advanced Manufacturing Technology | 2014年 / 70卷
关键词：
Cell formation problem; Cellular manufacturing; Group technology; Fuzzy goal programming; Genetic algorithm; NSGA-II;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
A comprehensive multi-objective mathematical programming model is proposed in this paper to design a cellular manufacturing system. The model considers machine redundancy, production volume, processing time, cost of machines, sequence of operations, and alternative processing plans. A fuzzy goal programming approach is used to convert the proposed multi-objective model into a single-objective one. Due to NP-hard nature of the model, a genetic algorithm is developed for solving the proposed model. Performance of the proposed genetic algorithm is evaluated by adopting four problems from literature. The results indicate effectiveness and efficiency of the proposed algorithm in comparison with those obtained by Lingo and NSGA-II algorithm.
引用
收藏
页码：1635 / 1652
页数：17
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