%0 Journal Article %T Research on special LRP based on two-phase improved genetic algorithm
基于两阶段改进遗传算法的一类特殊LRP问题研究(英文) %A ZHANG Qian %A GAO Li-qun %A HU Xiang-pei %A JING Yuan-wei %A
张 潜 %A 高立群 %A 胡祥培 %A 井元伟 %J 控制理论与应用 %D 2003 %I %X A two-phase improved genetic algorithm with control switch system architecture was proposed to solve location routing problems (LRP). Random switch was constructed to control mutation calculation and to improve the population diversity in the method. This improved GA (IGA) architecture made it possible to search the solution space efficiently without local optimization to some extent. A case study using computer simulation shows that the IGA with switch control system achieves significant improvement compared to a recent LRP heuristic. %K location routing problems (LRP) %K improved genetic algorithm (IGA) %K logistic optimization %K random switch
定位-运输路线安排(LRP)问题 %K 改进遗传算法(IGA) %K 物流系统优化 %K 随机开关 %U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=970898A57DFC021F93AB51667BAED7F7&aid=4955B6D12EAC4BC6&yid=D43C4A19B2EE3C0A&vid=A04140E723CB732E&iid=94C357A881DFC066&sid=04CF423CEE45E258&eid=A8E9231F98774741&journal_id=1000-8152&journal_name=控制理论与应用&referenced_num=0&reference_num=7