Facility Layout Planning Using Fuzzy Closeness Computation and a Genetic Algorithm

机译：基于模糊贴近度计算和遗传算法的设施布局规划

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摘要

The purpose of this study is to analyze and improve the solution of the facility layout problem following earlier approaches by Karray et al. We briefly describe the facility layout problem, including a short literature review, compare different solution methods and finally introduce a new solution approach combining fuzzy logic with a genetic algorithm (GA). In the end we compare results from both implementations and give some conclusions.

机译：这项研究的目的是按照Karray等人的早期方法来分析和改进设施布局问题的解决方案。我们简要介绍了设施布局问题，包括简短的文献综述，比较不同的解决方法，最后介绍了一种结合了模糊逻辑和遗传算法（GA）的新解决方案。最后，我们比较了两种实现的结果并给出了一些结论。

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《International Symposium on Computational and Business Intelligence》|2015年|13-20|共8页
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Dilip Menon; Cedric Zwimpfer; Thomas Hanne; Rolf Dornberger;
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facility layout problem; facility relationship; fuzzy systems; genetic algorithm; layout design;

机译：设施布局问题;设施关系;模糊系统;遗传算法;布局设计;

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3. A robust approach to design a single facility layout plan in dynamic manufacturing environments using a permutation-based genetic algorithm [J] . Fazlelahi Forough Zarea, Pournader Mehrdokht, Gharakhani Mohsen, Proceedings of the Institution of Mechanical Engineers, Part B. Journal of engineering manufacture . 2016,第12期

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4. Facility Layout Planning Using Fuzzy Closeness Computation and a Genetic Algorithm [C] . Dilip Menon, Cedric Zwimpfer, Thomas Hanne, International Symposium on Computational and Business Intelligence . 2015

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5. Industrial facilities layout optimization by means of genetic algorithms. Controlling the geometry of the facilities (Spanish text). [D] . Diego-Mas, Jose Antonio. 2006

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6. Facility Layout Planning with SHELL and Fuzzy AHP Method Based on Human Reliability for Operating Theatre [O] . QingLian Lin, Duojin Wang 2019

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Facility Layout Planning Using Fuzzy Closeness Computation and a Genetic Algorithm

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