Enhancement versions of population based ant colony
Joint Authors
Source
International Journal of Intelligent Computing and Information Sciences
Issue
Vol. 6, Issue 2 (31 Jul. 2006)15 p.
Publisher
Ain Shams University Faculty of Computer and Information Sciences
Publication Date
2006-07-31
Country of Publication
Egypt
No. of Pages
15
Main Subjects
Information Technology and Computer Science
Topics
Abstract EN
Ant Colony Optimization (ACO) is a met heuristics inspired by foraging behavior of ant colonies that has been successful in the resolution of hard combinatorial optimization problem.
One of important Ant Colony models used to solve combinatorial optimization problem is called Population based Ant Colony.
This paper presents two enhancement versions of Population based Ant Colony : Best-Worst Population ACO (BWP-ACO) and Iterated Population Ant Colony (IP-ACO).
Results clearly indicate that Iterated Population Ant Colony system yields best solutions for all benchmarks due to its capability to explore and exploit the solution space effectively.
American Psychological Association (APA)
Margahny, M. H.& Salah, S.. 2006. Enhancement versions of population based ant colony. International Journal of Intelligent Computing and Information Sciences،Vol. 6, no. 2.
https://search.emarefa.net/detail/BIM-284234
Modern Language Association (MLA)
Margahny, M. H.& Salah, S.. Enhancement versions of population based ant colony. International Journal of Intelligent Computing and Information Sciences Vol. 6, no. 2 (Jul. 2006).
https://search.emarefa.net/detail/BIM-284234
American Medical Association (AMA)
Margahny, M. H.& Salah, S.. Enhancement versions of population based ant colony. International Journal of Intelligent Computing and Information Sciences. 2006. Vol. 6, no. 2.
https://search.emarefa.net/detail/BIM-284234
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references.
Record ID
BIM-284234
