分布式估计算法在考虑差异工件的并行批处理机调度中的应用  

Application of Estimation of Distribution Algorithm to Parallel Batch Processing Machines with Non-Identical Job Sizes

作　　者：张建 ZHANG Jian(School of Management, University of Science and Technology of China, Hefei 230026, China)

机构地区：[1]中国科学技术大学管理学院

出　　处：《计算机系统应用》2019年第6期213-220,共8页Computer Systems & Applications

基　　金：国家自然科学基金(71671168)~~

摘　　要：论文考虑包含差异工件的并行批处理机调度问题,优化目标是最小化制造跨度.在不违背机器容量的限制下,所有工件需要被分成不同的批次,然后被安排在机器上进行加工.首先根据问题提出一个混合整数规划模型,并提出一个下界;采用FF-LPT规则实现对工件的分批和排序;然后提出基于4种更新机制的分布式估计算法(EDA)来对问题求解.最后通过实验对各类规模不同的算例进行仿真,并将结果和模拟退火算法(SA)、遗传算法(GA)作对比,验证了算法的有效性.This paper aims at minimizing makespan of parallel batch processing machines with non-identical job sizes. All the jobs are grouped into batches within the restraint of machines’ capacity and then scheduled on the machines. First, a mixed integer programming model is summarized for this problem and a lower bound is proposed. Then an FF-LPT rule is addressed to form batches and assign batches on machines. And an estimation of distribution algorithm (EDA) with four different update mechanism is proposed. The performance of proposed algorithm is evaluated by comparing with a simulated annealing algorithm (SA) and a genetic algorithm (GA). The experimental results indicate that the effectiveness of proposed algorithm.

关 键 词：批调度 并行批处理机 分布式估计算法 差异工件 

分 类 号：TP301.6[自动化与计算机技术—计算机系统结构]