DocumentCode
2306038
Title
A genetic algorithm approach to location-allocation problem in Urban Garbage Logistics System
Author
Liu Wang-sheng ; Zhuang Jin-fa ; Li Mao-qing
Author_Institution
Sch. of Comput. & Inf. Eng., Xiamen Univ., Xiamen
fYear
2008
fDate
12-14 Dec. 2008
Firstpage
71
Lastpage
75
Abstract
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.
Keywords
genetic algorithms; logistics; minimisation; refuse disposal; transportation; garbage collection; garbage disposal; genetic algorithm approach; location-allocation problem; regional waste management problem; system operation cost minimization; transportation; urban garbage logistics system; Genetic algorithms; Logistics;
fLanguage
English
Publisher
ieee
Conference_Titel
IT in Medicine and Education, 2008. ITME 2008. IEEE International Symposium on
Conference_Location
Xiamen
Print_ISBN
978-1-4244-3616-3
Electronic_ISBN
978-1-4244-2511-2
Type
conf
DOI
10.1109/ITME.2008.4743825
Filename
4743825
Link To Document