摘要
研究AGV物料输送工作过程,建立多复杂、多约束条件的AGV物料输送多参数调度问题数学模型。将禁忌搜索算法引入遗传算法组成混合遗传禁忌搜索算法。通过所建立的数学模型进行算法设计和仿真,结果表明该算法比较单纯的遗传算法的计算结果有一定的改进,使AGV完成物料输运任务时耗用时间最短。
By analysis the working process of AGV material conveying system, an explicit and multi-constraint mathematics model AGV material conveying is ,established. Then, genetic algorithm ,and tabu ,search algorithm are analyzed and com- bined to become hybrid genetic algorithms （GA TS） . Finally, GA TS used to optimize the mathematics model, and the re- suits of the simuiatien indicate that the GA TS has the higher efficiency than simple GA and is an effective way for the AGV material conveying;
出处
《物流科技》
2013年第7期1-4,共4页
Logistics Sci-Tech
基金
科技部"十二五"国家支撑科技计划项目
项目编号:2012BAH20F05
关键词
输送系统
AGV
调度优化
遗传禁忌搜索算法
eonveging System
AGV
scheduling optimization
genetic tabu search algorithm
