A Genetic Algorithm Approach to Location-allocation Problem in Urban Garbage Logistics System
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.
LIU Wang-sheng ZHUANG Jin-fa LI Mao-qing
School of Computer and Information Engineering,Xiamen University,Xiamen 361005,China;Navigation Inst School of Computer and Information Engineering,Xiamen University,Xiamen 361005,China
国际会议
厦门
英文
71-75
2008-12-12(万方平台首次上网日期,不代表论文的发表时间)