关键词: 联盟运输调度, 差分算法, 模拟退火, 非支配集, 多目标最优化

Abstract: The traditional single-objective algorithm can only get one solution, but the multi-objective algorithm can get a solution set after every run. The algorithm (DEASA) improved the differential evolution strategy, designed reconstruction, adjusted parameter adaptively, adopted arena's principle to build non-dominating set rules, and added simulated annealing strategies into the differential evolution algorithm which enhanced the ability to further improve the performance of the algorithm and reduced the time complexity to avoid falling into local optimum. The experiments show that this algorithm can effectively solve the union transport problem.

Key words: union transport scheduling, difference algorithm, simulated annealing, non-dominated set, multi-objective optimization