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
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;
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
DOI :
10.1109/ITME.2008.4743825
