华中科技大学学报（自然科学版）2025，Vol.53Issue(6)：71-79,9.DOI:10.13245/j.hust.250610
考虑工人因素和运输资源的分布式混合流水车间调度方法
Distributed hybrid flow shop scheduling method considering worker factors and transportation resources
摘要
Abstract
A distributed hybrid flow shop scheduling problem considering both worker factors and transportation resource constraints was abstracted from the production process of aluminum industry,and the optimized objective function was to minimize the maximum completion time and minimize the maximum worker fatigue.For the distributed hybrid flow shop scheduling problem,based on the basic framework of evolutionary multi-task optimization algorithm,a problem collaborative multi-task collaborative optimization algorithm was constructed.The complex overall problem was decomposed into two relatively independent sub-problems.Each sub-problem adopted the corresponding optimization algorithm framework for collaborative search,and the overall problem was solved by integrating the optimization individuals of the two sub-problems.Finally,8 local reinforcement mechanisms were introduced to further optimize the population,and experimental results further demonstrated the high efficiency of the proposed algorithm.关键词
混合流水车间调度/分布式调度/工人疲劳度/运输资源/多任务优化Key words
hybrid flow-shop scheduling/distributed scheduling/worker fatigue/transport resources/multi-task optimization分类
信息技术与安全科学引用本文复制引用
刘欢,赵付青,许天鹏..考虑工人因素和运输资源的分布式混合流水车间调度方法[J].华中科技大学学报（自然科学版）,2025,53(6):71-79,9.基金项目
国家自然科学基金资助项目(62473182) （62473182）
甘肃省自然科学基金重点项目(23JRRA784) （23JRRA784）
甘肃省高等学校产业支撑计划项目(2024CYZC-15). （2024CYZC-15）
