A Fuzzy Particle Swarm Optimization Algorithm for a Cell Formation Problem
نویسندگان
چکیده
Group technology (GT) is a useful way to increase productivity with high quality in cellular manufacturing systems (CMSs), in which cell formation (CF) is a key step in the GT philosophy. When boundaries between groups are fuzzy, fuzzy clustering has been successfully adapted to solve the CF problem; however, it may result uneven distribution of parts/machines where the problem becomes larger. In this case, particle swarm optimization (PSO) can be used to tackle such a hard problem. This paper proposes a hybrid algorithm based on the fuzzy clustering and particle swarm optimization (FPSO) to solve the given CF problem. We experiment a number of examples to show the efficiency of the proposed algorithm and find that our proposed FPSO algorithm is able to obtain good results at reasonable time. Keywords— Cellular manufacturing systems, cell formation, fuzzy clustering, particle swarm optimization (PSO)
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