关键词: 混合流水车间调度, 候鸟优化算法, 解码方法, 最大完工时间

Abstract: According to the characteristics of Hybrid Flow-shop Scheduling Problem (HFSP),a random iteration list decoding method was proposed,and the effectiveness of this random iteration list decoding method was proved by comparing it with the permutation decoding method and the original list decoding method,and then a two-stage decoding method was proposed.For solving this method,Migrating Birds Optimization (MBO) algorithm was used,and an improved MBO algorithm based on two-stage decoding method was proposed.In this algorithm,the leader and followers were evolved through the optimal insertion operation or the optimal exchange operation,and four neighborhood structures were designed to perform local search for followers.24 harder benchmark testing problems were solved with the proposed algorithm,and the best results of these instances were obtained.The proposed algorithm was used to solve 10 larger-size testing problems and a better result was obtained,which verified the effectiveness of the proposed algorithm.

Key words: hybrid flow-shop scheduling, migrating birds optimization algorithm, decoding methods, makespan