DocumentCode
684297
Title
Multi-objective joint optimization of loading and capacity vehicle routing problem
Author
Chao Wang ; Chun Jin ; Jim Han
Author_Institution
Inst. of Syst. Eng., Dalian Univ. of Technol., Dalian, China
fYear
2013
fDate
19-21 Oct. 2013
Firstpage
251
Lastpage
255
Abstract
To solve the capacity vehicle routing problem (CVRP) more effectively and save related resources, this paper proposes a multi-objective joint optimization problem of loading problem and CVRP (LCVRP), and builds the appropriate mathematical model. We design a multistage algorithm to solve it. In the first stage of the algorithm, we give a novel loading algorithm to work out the minimum number of transport vehicles. Numerical experiments manifest that we can get the minimum vehicles in LCVRP, and the satisfactory solutions of LCVRP are better than those of CVRP in some instances of VRPLIB. The experiment part of this paper shows the testing for E022 instance in detail.
Keywords
goods distribution; optimisation; vehicle routing; E022 instance; LCVRP; capacity vehicle routing problem; loading problem; multiobjective joint optimization; multistage algorithm; transport vehicle; Annealing; Loading; Simulated annealing; Loading Problem; Multi-objective Joint Optimization; Traveling Salesman Problem; Vehicle Routing Problem;
fLanguage
English
Publisher
ieee
Conference_Titel
Advanced Computational Intelligence (ICACI), 2013 Sixth International Conference on
Conference_Location
Hangzhou
Print_ISBN
978-1-4673-6341-9
Type
conf
DOI
10.1109/ICACI.2013.6748511
Filename
6748511
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