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primary topic: Applying DACS3 in the capacitated vehicle routing problem

Applying DACS3 in the capacitated vehicle routing problem
type: AcademicArticle
type: Article
abstract: Ant Colony System (ACS) is a well known optimization algorithm to find a good route solution for logistics and transportation industries such as Traveling Salesman Problem (TSP) or Vehicle Routing Problem (VRP), for the company maximize the efficiency and resource. Several versions of Ant Colony Optimization (ACO) algorithms have been proposed which aim to achieve an optimum solution includes Dynamic Ant Colony System with Three Level Updates (DACS3). DACS3 is an enhancement of ACS which focuses on adding individual ant behavior. The algorithm works better in TSP solution. This research aims to see the performance of DACS3 in VRP domain. The result shows that DACS3 has achieved a better solution for most the datasets of Capacitated Vehicle Routing Problem (CVRP). Embedding a simple behavior of a single ant influences its achievement to reach an optimal distance and also can perform considerably faster compare to other algorithm in TSP and CVRP.
date: 2010
status: peerReviewed
status: published
author list: authors
type: EPrint
type: ConferenceItemEPrint
is part of: repository

INFOS2010 - 2010 7th International Conference on Informatics and Systems
type: Collection

H.Md. Rais
type: Person
given name: H.Md.
family name: Rais

A.R. Hamdan
type: Person
given name: A.R.
family name: Hamdan

Z.A. Othman
type: Person
given name: Z.A.
family name: Othman

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primary topic: Applying DACS3 in the capacitated vehicle routing problem