关键词: 柔性作业车间调度, 生物地理学优化算法, 启发式规则, 自适应

Abstract: According to the characteristics of the flexible job shop scheduling problem, an improved biogeography-based optimization algorithm is proposed in this paper. The program uses a combination of the machine-based and order-based coding mechanism, at the same time superior individuals are generated based on heuristic rules in the initial population. Migration and mutation mechanism is improved based on standard biogeography-based optimization algorithm, in line with the scheduling problem of mobility model and adaptive mutation mechanism, for overcoming the shortcoming of early mature and slow convergence of traditional algorithms. Through simulation and comparison experiments, the results demonstrate the feasibility and effectiveness of the algorithm.

Key words: flexible job-shop scheduling problem, biogeography-based optimization algorithm, heuristic rules, adaptive