计算机工程与应用Issue(15)：240-243,4.DOI:10.3778/j.issn.1002-8331.1409-0247
病毒进化遗传算法的车辆调度优化模型
Vehicle scheduling model optimized by genetic algorithm with virus evolution
摘要
Abstract
In order to obtain good results of vehicle scheduling problem, a novel vehicle scheduling optimization method based on virus evolution genetic algorithm is proposed. A mathematical model of vehicle scheduling problem is estab-lished, and then the model is solved by genetic algorithm. The main groups which consist of bats transmit information cross the vertical generations and the virus groups transfer evolutionary information cross the same generation through vi-rus infection. The simulation experiment is used to test the performance. The result shows that the proposed algorithm has solved the defects of genetic algorithm and can obtain good vehicle scheduling solution, and has good application value.关键词
车辆调度问题/遗传算法/病毒进化/最优调度方案Key words
vehicle scheduling problem/genetic algorithm/virus evolution/optimal scheduling solution分类
信息技术与安全科学引用本文复制引用
童立君..病毒进化遗传算法的车辆调度优化模型[J].计算机工程与应用,2015,(15):240-243,4.基金项目
江西省自然科学基金（No.20122BAB201019）。 （）
