DocumentCode :
234728
Title :
An Improved MULTI-ACS Algorithm for the Waste Collection Vehicle Arc Routing Problem with Turn Constraints
Author :
Jie Liu ; Yanfeng He ; Aiping Zhang
Author_Institution :
Sch. of Urban & Rural Constr., Chengdu Univ., Chengdu, China
fYear :
2014
fDate :
15-16 Nov. 2014
Firstpage :
25
Lastpage :
29
Abstract :
To reduce the route length of MSW collection without intermediate facilities, A Waste Collection Vehicle Arc Routing Problem with turn constraints (WCVARPTC) model was proposed, which considers the actual traffic regulations: some streets can be traversed in only one direction, some turns will be forbidden when the common angle is too narrow. An asymmetric vehicle node routing problem (AVNRP) model was formulated to reduce the scale of the WCVARPTC. And a MULTI-ACS algorithm with Substitution neighborhood, Reinsertion neighborhood and 3-Exchange neighborhood was designed for solving such an asymmetric one. The results of 3 benchmark instances for CVARP indicate that the best solutions has approached the best known solutions for egl-e1-a, egl-s1-a with deviation 0.28% and 0.16% respectively, So we conclude that the more arcs without collection points that instance contains, the better performance for it.
Keywords :
road traffic; vehicle routing; waste management; 3-exchange neighborhood; AVNRP model; CVARP; MSW collection; WCVARPTC model; asymmetric vehicle node routing problem model; improved MULTI-ACS algorithm; reinsertion neighborhood; substitution neighborhood; traffic regulations; waste collection vehicle arc routing problem with turn constraint model; Algorithm design and analysis; Benchmark testing; Computational intelligence; Educational institutions; Routing; Security; Vehicles; ACS; Waste Collection Vehicle Arc Routing Problem with turn constraints; reverse logistics; waste collection management;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence and Security (CIS), 2014 Tenth International Conference on
Conference_Location :
Kunming
Print_ISBN :
978-1-4799-7433-7
Type :
conf
DOI :
10.1109/CIS.2014.77
Filename :
7016846
Link To Document :
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