求解柔性作业车间调度的混合粒子群算法
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摘要
将粒子群算法运用于求解柔性作业车间调度问题,采用基于轮盘赌的编码方法以及基于邻域互换的局部搜索方法。通过两个不同规模算例的试验计算,与基于粒子位置取整的编码方法进行对比分析,说明了轮盘赌编码方法求解柔性作业车间调度问题的有效性。且采用该编码方法的混合粒子群算法在求解柔性作业车间调度问题时具有更好的求解性能。
Applying the particle swarm optimisation to solving the flexible job-shop scheduling problem,we adopted the roulette-based encoding method and the neighbourhood swap-based local search method. By the test calculation of two examples with different scales and analysing the comparison of them with the encoding method based on particle position rounding,we proved the effectiveness of the roulettebased encoding method in solving flexible job-shop scheduling problem. Moreover,the hybrid particle swarm optimisation using this encoding method has better solution performance in optimising the flexible job-shop scheduling problem.
Applying the particle swarm optimisation to solving the flexible job-shop scheduling problem,we adopted the roulette-based encoding method and the neighbourhood swap-based local search method. By the test calculation of two examples with different scales and analysing the comparison of them with the encoding method based on particle position rounding,we proved the effectiveness of the roulettebased encoding method in solving flexible job-shop scheduling problem. Moreover,the hybrid particle swarm optimisation using this encoding method has better solution performance in optimising the flexible job-shop scheduling problem.
引文
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[2]Lin Lin,Gen Mitsuo,Yan Liang,et al.A Hybrid EA for Reactive Flexible Job-shop Scheduling[J].Procedia Computer Science,2012,12:110-115.
[3]Tang Jianchao,Zhang Guoji,Lin Binbin,et al.A Hybrid Algorithm for Flexible Job-shop Scheduling Problem[J].Procedia Engineering,2011,11:3678-3683.
[4]Xia Weijun,Wu Zhiming.An effective hybrid optimization approach for multi-objective flexible job-shop scheduling problems[J].Computers&Industrial Engineering,2005,48:409-425.
[5]Wannaporn Teekeng,Arit Thammano.Modified Genetic Algorithm for Flexible Job-Shop Scheduling Problems[J].Procedia Computer Science,2012,12:122-128.
[6]张超勇,饶运清,李培根,等.柔性作业车间调度问题的两级遗传算法[J].机械工程学报,2007,43(4):119-124.
[7]陈伟达,达庆利.工艺路线可变车间作业调度的两级遗传算法[J].系统工程学报,2002,17(2):161-166.
[8]张静,王万良,徐新黎,等.求解柔性作业车间调度问题的改进离散粒子群算法[C]//2010全国现代制造集成技术学术会议论文集,2010:664-673.
[9]徐晓红,曾令李,付跃文.求解柔性作业车间调度的混合PSO算法与实现[J].计算机仿真,2010,27(10):187-206.
[10]宋存利.求解柔性作业调度问题的协同进化粒子群算法[J].计算机工程与应用,2013,49(21):15-18.
[11]刘志雄,杨光祥.基于轮盘赌概率分配编码方法的并行机调度优化[C]//Proceedings of the 29th Chinese Control Conference,Beijing,2010:1775-1780.
[12]史峰,王辉,郁磊,等.MATLAB智能算法30个案例分析[M].北京:北京航空航天大学出版社,2010:114-115.