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
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;
Conference_Titel :
Computational Intelligence in Production and Logistics Systems (CIPLS), 2014 IEEE Symposium on
Conference_Location :
Orlando, FL
DOI :
10.1109/CIPLS.2014.7007160