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Controlling the balance of exploration and exploitation in ACO algorithm
Author
Source
Journal of Babylon University : Journal of Applied and Pure Sciences
Issue
Vol. 26, Issue 4 (30 Apr. 2018), pp.1-9, 9 p.
Publisher
Publication Date
2018-04-30
Country of Publication
Iraq
No. of Pages
9
Main Subjects
Information Technology and Computer Science
Abstract EN
Ant colony optimization is a meta-heuristic algorithm inspired by the foraging behavior of real ant colony.
The algorithm is a population-based solution employed in different optimization problems such as classification, image processing, clustering, and so on.
This paper sheds the light on the side of improving the results of traveling salesman problem produced by the algorithm.
The key success that produces the valuable results is due to the two important components of exploration and exploitation.
Balancing both components is the foundation of controlling search within the ACO.
This paper proposes to modify the main probabilistic method to overcome the drawbacks of the exploration problem and produces global optimal results in high dimensional space.
Experiments on six variant of ant colony optimization indicate that the proposed work produces high-quality results in terms of shortest route.
American Psychological Association (APA)
Jabbar, Iyad Muhammad. 2018. Controlling the balance of exploration and exploitation in ACO algorithm. Journal of Babylon University : Journal of Applied and Pure Sciences،Vol. 26, no. 4, pp.1-9.
https://search.emarefa.net/detail/BIM-1233521
Modern Language Association (MLA)
Jabbar, Iyad Muhammad. Controlling the balance of exploration and exploitation in ACO algorithm. Journal of Babylon University : Journal of Applied and Pure Sciences Vol. 26, no. 4 (2018), pp.1-9.
https://search.emarefa.net/detail/BIM-1233521
American Medical Association (AMA)
Jabbar, Iyad Muhammad. Controlling the balance of exploration and exploitation in ACO algorithm. Journal of Babylon University : Journal of Applied and Pure Sciences. 2018. Vol. 26, no. 4, pp.1-9.
https://search.emarefa.net/detail/BIM-1233521
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 8-9
Record ID
BIM-1233521