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车间生产调度优化中改进微粒群算法的应用 被引量:1

Application of Improved Particle Swarm Optimization Algorithm to Job Shop Scheduling
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摘要 为有效解决车间生产作业调度这一非确定性问题,给出了一种基于工序的编码方法。在微粒群算法的基础上,进一步结合遗传算法和模拟退火算法,提出了一种新型混合微粒群算法。将算法用于求解FT06问题和LA01问题,显示了其很好的收敛性。 In order to effectively solve the NP problem of the workshop production scheduling, this paper adopted a coding method based on the working procedure. Based on particle swarm optimization algorithm, combined genetic algorithm and simulated annea- ling algorithm, the paper presented a new improved hybrid-PSO algorithm. Finally, the improved hybrid-PSO algorithm was used to solve the problems of FT06 and LA01. Optimizing the problems of FT06 and LA01 indicates the astringency of the algorithm.
出处 《机械工程与自动化》 2015年第3期76-77,80,共3页 Mechanical Engineering & Automation
关键词 车间生产作业调度 混合微粒群算法 模拟退火算法 遗传算法 收敛性 job-shop scheduling hybrid-PSO algorithm simulated annealing algorithm genetic algorithm astringency
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