现代制造工程Issue(7)：114-120,7.DOI:10.16731/j.cnki.1671-3133.2017.07.023
基于改进遗传算法的物料配送多目标优化模型研究
Research on material distribution multi-objective optimization model based on improved genetic algorithm
摘要
Abstract
To solve the problem of various material distribution routes and uncertain operators in assembly shop,considering the utilization of operators and the loading rate of material vehicle,an optimization model of lean material distribution was proposed with the target of minimizing total distribution time and the number of operators.The improved genetic algorithm was used to solve this model.In order to solve the problem that the multi-objective optimization genetic algorithm difficult to converge in practice and have a lot of illegal solution,in the design process of algorithm,it uses integer coding to reflect directly operators distribution routing and allocation of tasks,and add illegal solutions for inspection in crossover and mutation.The example verifies feasibility and effectiveness of optimization model.关键词
装配车间/物料配送/作业者数量/改进遗传算法Key words
assembly shop/material distribution/the number of operators/improved genetic algorithm分类
信息技术与安全科学引用本文复制引用
陈广胜,董宝力..基于改进遗传算法的物料配送多目标优化模型研究[J].现代制造工程,2017,(7):114-120,7.基金项目
浙江省自然科学基金项目(LY12G02015) （LY12G02015）
