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The flow shop scheduling problem (FSSP) is a NP-HARD combinatorial problem with strong industrial background. Among the meta-heuristics, genetic algorithms attracted a lot of attention. However, lacking the major evolution direction, the effectiveness of regular genetic algorithm is restricted. In this paper, the particle swarm optimization algorithm (PSO) is introduced for better initial group. By...
In this paper, a hybrid search algorithm using genetic algorithm (GA) and particle swarm optimization (PSO) is implemented for the concurrent design of cellular manufacturing system. Traditionally, cell formation (CF) and group layout (GL) problems were considered sequentially therefore the results may be optimal in one phase but during implementation of the whole cellular manufacturing, it may not...
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