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Solving single row facility layout problem with simplified swarm optimization
會議論文集

Solving single row facility layout problem with simplified swarm optimization

W.-C. Yeh, C.-M. Lai, H.-Y. Ting, Y. Jiang 和 H.-P. Huang
ICNC-FSKD 2017 - 13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery, 頁碼.267-270
2018

摘要

genetic algorithm particle swarm optimization permutation optimization simplified swarm optimization Single row facility problem Efficiency Fuzzy systems Genetic algorithms Particle swarm optimization (PSO) Bench-mark problems Computational results Facility layout problems Near-optimal solutions Permutation problems Production sites Simplified swarm optimizations (SSO) Single row facility problem Plant layout
Single Row Facility Layout Problem (SRFLP) is a NP-Complete permutation problem which has been widely studied in the academic field in order to improve the efficiency on production site. The main purpose of SRFLP is to find an optimal permutation of a given number of rectangular facilities with minimum total cost by arranging them along a straight line. In this paper, we use the Simplified Swarm Optimization algorithm with an effective local search to find the near-optimal solution for SRFLP. The comparison of computational results of benchmark problems with previous studies shows that our proposed method has better efficiency and effectiveness in solving SRFLP. © 2017 IEEE.

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https://www.scopus.com/inward/record.uri?eid=2-s2.0-85050178899&doi=10.1109%2fFSKD.2017.8393199&partnerID=40&md5=17b6293f4a4210ad1cf85708681fc7fb檢視

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