DocumentCode :
2779963
Title :
An Optimal Model and Its Algorithm for Multi-echelon MSW Recycling Network Design
Author :
Deng, Aimin ; Mao, Lang ; Tian, Feng ; Cai, Jia
Author_Institution :
Sch. of Bus. Adm., Hunan Univ., Changsha, China
Volume :
1
fYear :
2011
fDate :
24-25 Sept. 2011
Firstpage :
254
Lastpage :
259
Abstract :
Municipal solid waste (MSW) recycling network design has been one of the most important MSW management problems. A location and routing problem (LRP) model is proposed in this paper that considering both facilities locations optimization and collection & transportation routes optimization to design MSW recycling network. A hybrid algorithm is proposed to solve the LRP model by serial operating Tabu search and genetic algorithm. Optimal locations and scale of various facilities, improved route planning of waste collection & transportation can simultaneously obtained. For illustration, a numerical example is utilized to show the feasibility and effectiveness of the proposed model and algorithm. Experimental results show that the hybrid algorithm can stable obtain optimal solution within very short computing time, total cost of MSW recycling network can be greatly reduced. The LRP model and hybrid algorithm can effectively solve the problem of MSW recycling network design and provide decision support for relevant decision makers.
Keywords :
facility location; genetic algorithms; recycling; search problems; transportation; waste handling; MSW management problem; facilities locations optimization; genetic algorithm; location and routing problem model; multiechelon MSW recycling network design; municipal solid waste; optimal model; route planning; tabu search; transportation routes optimization; waste collection; Algorithm design and analysis; Genetic algorithms; Incineration; Recycling; Sorting; Vehicles; collection and transportation routes; facility location; genetic algorithm; municipal solid waste; tabu search;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Technology, Computer Engineering and Management Sciences (ICM), 2011 International Conference on
Conference_Location :
Nanjing, Jiangsu
Print_ISBN :
978-1-4577-1419-1
Type :
conf
DOI :
10.1109/ICM.2011.45
Filename :
6113404
Link To Document :
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