DocumentCode :
2876664
Title :
Ant Colony Algorithm for Waste Collection Vehicle Arc Routing Problem with Turn Constraints
Author :
Jie Liu ; Yanfeng He
Author_Institution :
Sch. of Urban & Rural Constr., Chengdu Univ., Chengdu, China
fYear :
2012
fDate :
17-18 Nov. 2012
Firstpage :
35
Lastpage :
39
Abstract :
A Waste Collection Arc Vehicle Routing Problem with turn constraints (WCAVRPTC) model is proposed to minimize the length of municipal solid waste (MSW) collection routes, which presents several characteristics derived from traffic regulations: some streets can be traversed crossed in only one direction, and some turns should be forbidden when the common angle is too narrow. The problem is transformed into a node routing ones and a clustering-based multiple ant colony system algorithm is described to address it. This algorithm possesses a set of new strategies to construct solutions, including clustering-based strategy, improved global pheromone update rule. The methodology is also applied to the urban waste collection problem in Shuangnan. The results of optimization indicate that the length of saving routes is 89984.96m and 92330.04m respectively with or without turns constrains constraints, which decreased by 31.1% and 31.9% respectively.
Keywords :
ant colony optimisation; pattern clustering; road traffic; vehicle routing; waste management; China; Shuangnan; WCAVRPTC model; ant colony algorithm; clustering-based multiple ant colony system algorithm; clustering-based strategy; global pheromone update rule; municipal solid waste collection route; node routing; route length minimization; traffic regulation; turn constraint; waste collection vehicle arc routing problem; Cities and towns; Clustering algorithms; Optimization; Roads; Routing; Vehicles; ACS; Collection and Transportation of MSW; Vehicle Arc Routing Problems;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence and Security (CIS), 2012 Eighth International Conference on
Conference_Location :
Guangzhou
Print_ISBN :
978-1-4673-4725-9
Type :
conf
DOI :
10.1109/CIS.2012.16
Filename :
6405862
Link To Document :
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