Application of layered coding genetic algorithm in optimization of unequal area production facilities layout

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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.

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Hou, S., Wen, H., Feng, S., Wang, H., & Li, Z. (2019). Application of layered coding genetic algorithm in optimization of unequal area production facilities layout. Computational Intelligence and Neuroscience, 2019. https://doi.org/10.1155/2019/3650923

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