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

机译: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

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摘要

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.
机译:区域设施布局不平等问题(UA-FLP)是企业新建,改建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影响很大。根据生产过程的要求寻找UA-FLP的最佳解决方案是工厂设计的主要内容。设施分别受给定面积和纵横比的限制。通过采用切片方法,将每个设备的布局空间划分为多个区域。该遗传算法是通过分层编码来表示切片过程的。考虑生产物流成本以及设施之间的邻接关系,通过运行该算法建立目标函数并获得最优解。最后,通过一系列已知问题验证了该方法的可行性。比较结果表明,该方法可以为多设施的快速优化布局提供决策支持。

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