河南科技大学学报（自然科学版）2012，Vol.33Issue(2)：17-21,5.
转移批量自适应的作业排程优化方法
摘要
Abstract
In order to shorten delivery period of products and improve the ability of responding quickly to market, genetic algorithm was applied to build an optimization method that can solve combinatorial optimization problem of scheduling with mixed transfer batch. Two different and efficient group operators including selection, crossover and mutation were designed to optimize both transfer batch and scheduling. Some mechanisms such as extending the life of outstanding individuals were used to improve the stability of genetic operation. These mechanisms can make the calculation convergence to the optimal solution or second-best solution in a short time. An example shows that the algorithm solving the scheduling problem of multiple transfer batches is effective and useful to discrete manufacturing companies.关键词
遗传算法/离散制造/作业排程/转移批量/优化方法Key words
Genetic algorithm/ Discrete manufacturing/ Operations scheduling/ Transfer batch/ Optimization methods分类
数理科学引用本文复制引用
郑波克,杨晓英..转移批量自适应的作业排程优化方法[J].河南科技大学学报（自然科学版）,2012,33(2):17-21,5.基金项目
河南省科技攻关计划项目(102102210487) （102102210487）
河南省教育厅自然科学研究计划项目(2011A410002) （2011A410002）
