Paper Info
Title
Solving Vehicle Routing Problem Using Ant Colony and Genetic Algorithm
Abstract
Vehicle routing problem becomes more remarkable with the development of modern logistics. Ant colony and genetic algorithm are combined for solving vehicle routing problem. GA can overcome the drawback of premature and weak exploitation capabilities of ant colony and converge to the global optimal quickly. The performance of the proposed method as compared to those of the genetic-based approaches is very promising.
Year
DOI
Venue
2008
10.1007/978-3-540-85930-7_4
ADVANCED INTELLIGENT COMPUTING THEORIES AND APPLICATIONS, PROCEEDINGS: WITH ASPECTS OF CONTEMPORARY INTELLIGENT COMPUTING TECHNIQUES
Keywords
Field
DocType
ant colony,vehicle routing problem,genetic algorithm
Ant colony optimization algorithms,Vehicle routing problem,Computer science,Artificial intelligence,Ant colony,Machine learning,Genetic algorithm,Metaheuristic
Conference
Volume
ISSN
Citations 
15
1865-0929
0
PageRank 
References 
Authors
0.34
7
2
Name
Order
Citations
PageRank
Wen Peng100.34
Chang-yu Zhou210.69