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A genetic algorithm approach to location-allocation problem in Urban Garbage Logistics System

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3 Author(s)
Liu Wang-sheng ; Sch. of Comput. & Inf. Eng., Xiamen Univ., Xiamen ; Zhuang Jin-fa ; Li Mao-qing

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.

Published in:

IT in Medicine and Education, 2008. ITME 2008. IEEE International Symposium on

Date of Conference:

12-14 Dec. 2008

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