基于最短路多种群遗传算法的物流园区内部布局研究  

Research on Layout Problem in Logistics Park Based on Shortest Path and Multi-population Genetic Algorithm

作　　者：孙焰[1] 马驰[1] 郑文家[1] 

机构地区：[1]同济大学交通运输工程学院,上海201804

出　　处：《物流科技》2015年第2期86-91,共6页Logistics Sci-Tech

摘　　要：针对物流园区内部功能模块配置布局问题,借鉴车间设备布局的设计方法,考虑路网最短路距离,建立物流园区内部功能模块配置布局模型。应用分割树方法,构造二维平面布局与一维序列的对应关系,设计了多种群遗传算法进行求解。最后以宁波陆港物流园区为例,验证算法的可行性。Learning from the workshop facility layout design methodology, this paper mainly researches on the optimization model of the functional modules configuration in logistics park and develops an efficient multi-population genetic algorithm to solve it The relationship between two-dimensional layouts and one,dimensional sequence is represented by slicing tree method. More im- portantly, this paper considers the shortest distance in the road network. The algorithm is applied in the Ningbo Land-Port logis- tics park to verify the feasibility.

关 键 词：配置布局方法 多种群遗传算法 路网最短路 物流园区 功能模块 

分 类 号：F719[经济管理—产业经济]