DocumentCode
1794683
Title
Solving capacitated vehicle routing problem by artificial bee colony algorithm
Author
Gomez, Ariel ; Salhi, Said
Author_Institution
Bus. Dept., Univ. of Oviedo, Gijon, Spain
fYear
2014
fDate
9-12 Dec. 2014
Firstpage
48
Lastpage
52
Abstract
This paper presents a new Artificial Bee Colony algorithm for solving the capacitated vehicle routing problem. The main novel characteristic of the proposed approach relies upon an efficient way of coordinating, for each group of bees, a well-defined focus of work. In the algorithm, we provide two specializations namely diversification and intensification where the former is controlled by the employed and the scout bees whereas the latter by the onlookers. The two datasets commonly used as benchmark instances are used to assess the performance of the proposed algorithm. The results show that the proposed algorithm obtains interesting results.
Keywords
optimisation; vehicle routing; artificial bee colony algorithm; capacitated vehicle routing problem; diversification specialization; intensification specialization; Algorithm design and analysis; Computers; Heuristic algorithms; Operations research; Optimization; Perturbation methods; Vehicle routing; ABC; Bee; CVRP; logistic; metaheuristic; swarm algorithm; transport;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence in Production and Logistics Systems (CIPLS), 2014 IEEE Symposium on
Conference_Location
Orlando, FL
Type
conf
DOI
10.1109/CIPLS.2014.7007160
Filename
7007160
Link To Document