mathematical model and hybrid particle swarm optimization for flexible job-shop scheduling problem
In this paper, A hybrid integer programming model is proposed for flexible job-shop scheduling problem(FJSP). Using crossover operator and mutation operator, the hybrid particle swarm optimization(HPSO) algorithm with simple particle swarm optimization(SPSO) algorithm and genetic algorithm(GA) is employed to solve this problem. Compared with SPSO algorithm, HPSO algorithm has a potential to reach a better optimum. The results of simulation indicate that, HPSO algorithm out performs SPSO algorithm on searching speed for global optimum and avoiding prematurity.
hybrid particle swarm optimization flexible job-shop scheduling hybrid integer programming model crossover operator mutation operator