A Genetic Algorithm Approach to Location-allocation Problem in Urban Garbage Logistics System

被引：0

作者：

Liu Wano-sheng ^{[1
]}

Zhuang Jin-fa ^{[1
]}

Li Mao-qing ^{[1
]}

机构：

[1] Xiamen Univ, Sch Comp & Informat Engn, Xiamen 361005, Peoples R China

来源：

2008 IEEE INTERNATIONAL SYMPOSIUM ON IT IN MEDICINE AND EDUCATION, VOLS 1 AND 2, PROCEEDINGS | 2008年

关键词：

D O I：

10.1109/ITME.2008.4743825

中图分类号：

G40 [教育学];

学科分类号：

040101 ; 120403 ;

摘要：

How to save the cost of collection and transportation is one of the biggest problems in the Urban Garbage Logistics System. In this paper, a model has been set up to minimize the system operation cost, and a genetic algorithm was developed to work this model out. Experimental studies show that the GA generates approximate optimal solutions very quickly and good-quality solutions can be obtained on an acceptable computational cost.

引用

页码：71 / 75

页数：5

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