求解混合流水车间调度问题的变量相关EDA算法  

EDA algorithm with correlated variables for solving hybrid flow-shop scheduling problem

作　　者：刘昶[1] 李冬[1,2] 彭慧[1] 史海波[1] 

机构地区：[1]中国科学院沈阳自动化研究所,辽宁沈阳110016 [2]中国科学院大学,北京100049

出　　处：《计算机集成制造系统》2015年第4期1032-1039,共8页Computer Integrated Manufacturing Systems

基　　金：国家科技重大专项资助项目(2011ZX02601-005)~~

摘　　要：针对混合流水车间调度问题和分布估计算法的特点,提出将变量按工序分组,通过组内概率约束、组间概率耦合的方式建立混合流水车间调度问题变量间概率关系的新方法。对分布估计算法中的紧致遗传算法的种群产生和概率更新机制进行了改进,以解决流水车间调度问题等复杂问题。通过仿真实验、与其他算法比较以及在大规模生产实际问题中的应用,验证了该算法的有效性和鲁棒性。According to the characteristic of Hybrid Flow-shop Scheduling Problem （HFSP） and Estimation of Distri- bution Algorithm （EDA）, a new method of building probabilistic relationships between HFSP variables was pro- posed. In this new method, the variable was grouped by process, and the variable probabilistic relationship in a high level was built through the prohabilistic constraints in the same group and the prohahilistic coupling in different groups. The mechanism of population generation and probability updating was improved in the standard compact Ge- netic Algorithm（ cGA） which accelerated the convergence rate of algorithm. The effectiveness and robustness of the algorithm was proved by simulation and the comparison with other algorithms and the verification of large-scale practical problem.

关 键 词：分布估计算法 紧致遗传算法 混合流水车间 概率模型 

分 类 号：TP315[自动化与计算机技术—计算机软件与理论]