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Hybrid Fuzzy Adaptive Particle Swarm Optimization Algorithm for Fuzzy Job Shop Scheduling Problem (FJSSP)
2014
International Journal of Computer Applications
The processing time for each job in JSSP is often imprecise in many real world applications. Therefore, JSSP with fuzzy processing time was addressed in this paper. Triangular fuzzy numbers were used to describe the fuzzy processing time. In this paper, a hybrid particle swarm optimization (HPSO) algorithm was presented for solving JSSP. The quality of the PSO algorithm final solution depends on two factors: the quality of initial solutions and adjustment of PSO parameters. In this study, to
doi:10.5120/15863-4792
fatcat:sjflaj2s2jccfphggluzs5i3za