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基于遗传算法的家电智能生产线分布式资源调度算法设计OA北大核心CSTPCD

Design of distributed resource scheduling algorithm for household appliance intelligent production line based on genetic algorithm

中文摘要英文摘要

目前家电智能生产线存在多任务操作冲突、调度控制响应时间长以及制造资源利用率低等问题.为了实现家电智能生产线的合理资源调度,基于多目标优化和分布式资源调度理论,建立了家电智能生产线分布式资源调度模型,提出了基于遗传算法的家电智能生产线分布式资源调度算法.仿真实验表明,与传统生产线调度方法相比,所提出的分布式资源调度算法最大完工时间缩短了 5.76%,解的适应度提高了 8%,验证了算法的可行性和高效性.

At present,the intelligent production line of household appliances has many problems,such as multi-task operation conflict,long response time of scheduling control and low utilization rate of manufacturing resources.In order to realize the ra-tional resource scheduling of household appliance intelligent production line,based on multi-objective optimization and distributed resource scheduling theory,a distributed resource scheduling model of household appliance intelligent production line was established,and a distributed resource scheduling algorithm based on genetic algorithm was proposed.The simulation results show that compared with the traditional production line scheduling method,the maximum completion time of the proposed distrib-uted resource scheduling algorithm is reduced by 5.76%,and the fitness of the solution is increased by 8%,which verifies the feasibility and efficiency of the algorithm.

张殷晨;左鹏奇;王逸飞;林楠;谢润;金立军

同济大学电子与信息工程学院,上海 201804

机械工程

分布式资源调度多目标优化柔性调度遗传算法

distributed resource schedulingmulti-objective optimizationflexible schedulinggenetic algorithm

《现代制造工程》 2024 (005)

31-38 / 8

国家重点研发计划项目(2019YFB1706700)

10.16731/j.cnki.1671-3133.2024.05.005

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