A new hybrid ant colony optimization algorithm for the vehicle routing problem

This paper presents a novel hybrid ant colony optimization approach called SS_ACO algorithm to solve the vehicle routing problem. The main feature of the hybrid algorithm is to hybridize the solution construction mechanism of the ant colony optimization (ACO) with scatter search (SS). In our hybrid...

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Bibliographic details
Volume: 30
Main Author: Zhang, Xiaoxia
Tang, Lixin
Format: Journal Article
Language: English
Zielgruppe: Academic
Place of publication: Amsterdam Elsevier B.V 2009
Elsevier
published in: Pattern recognition letters Vol. 30; no. 9; pp. 848 - 855
Data of publication: 2009
ISSN: 0167-8655
1872-7344
EISSN: 1872-7344
Discipline: Engineering
Computer Science
Applied Sciences
Subjects:
Online Access: available in Bonn?
CODEN: PRLEDG
Database: Pascal-Francis
CrossRef
Academic OneFile (A&I only)
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