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分层编码遗传算法在不等面积生产设施布局优化中的应用。

Application of Layered Coding Genetic Algorithm in Optimization of Unequal Area Production Facilities Layout.

机构信息

Department of Mathematics, Brunel University London, London UB8 3PH, UK.

School of Business, Huaihua University, Huaihua Hunan-418000, China.

出版信息

Comput Intell Neurosci. 2019 Jun 19;2019:3650923. doi: 10.1155/2019/3650923. eCollection 2019.

DOI:10.1155/2019/3650923
PMID:31320892
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6607717/
Abstract

Unequal area facilities layout problem (UA-FLP) is an inevitable problem in the process of new construction, reconstruction, and expansion of enterprises. The rationality of the facilities layout has a great influence on the operation performance of the production system. Finding the optimal solution of UA-FLP according to the requirement of production process is the main content of the plant design. The facilities were constrained by given areas and aspect ratio, respectively. By adopting the method of slicing tree, the layout space was divided into multiple regions for each facility. The genetic algorithm was developed by using layered coding to show the slicing process. Considering the production logistics cost as well as the adjacency relations between the facilities, the goal function was established and the optimal solution was obtained by running the proposed algorithm. Finally, the feasibility of the proposed approach was validated by a set of known problems. The comparison results show that it can provide decision support for rapid optimal layout of multifacilities.

摘要

不等面积设施布局问题（UA-FLP）是企业新建、改造和扩建过程中不可避免的问题。设施布局的合理性对生产系统的运行性能有很大影响。根据生产工艺的要求，找到 UA-FLP 的最优解是工厂设计的主要内容。设施分别受到给定区域和纵横比的限制。通过采用切片树的方法，将布局空间划分为多个区域。采用分层编码的遗传算法来展示切片过程。考虑到生产物流成本以及设施之间的邻接关系，建立了目标函数，并通过运行所提出的算法得到了最优解。最后，通过一组已知问题验证了所提方法的可行性。比较结果表明，它可以为多设施的快速优化布局提供决策支持。

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