This paper is focused on the comparison of results obtained by the resolution of the capacitated vehicle routing problem. A modied algorithm of classical articial bee colony (ABC) is described and implemented in this article, in particular, a new type of neighborhood operator is introduced. e idea on the base of ABC is creating an algorithm of Swarm - Intelligence which mimics the behavior of a honey bee swarm. e performance of the proposed metaheuristic is evaluated on two sets of standard benchmark instances and is compared with the well-known results obtained by savings algorithm of Clarke and Wright and with those calculated using ABC-enhanced by Szeto et al. e computational results show that the proposed ABC outperforms the Saving algorithm and that it can produce good solutions when compared with the ABC-enhanced.
Experimenting an Artificial Bee Colony algorithm to approach the capacitated vehicle routing problem
Carotenuto P;
2017
Abstract
This paper is focused on the comparison of results obtained by the resolution of the capacitated vehicle routing problem. A modied algorithm of classical articial bee colony (ABC) is described and implemented in this article, in particular, a new type of neighborhood operator is introduced. e idea on the base of ABC is creating an algorithm of Swarm - Intelligence which mimics the behavior of a honey bee swarm. e performance of the proposed metaheuristic is evaluated on two sets of standard benchmark instances and is compared with the well-known results obtained by savings algorithm of Clarke and Wright and with those calculated using ABC-enhanced by Szeto et al. e computational results show that the proposed ABC outperforms the Saving algorithm and that it can produce good solutions when compared with the ABC-enhanced.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
