Optimizing the average network throughput with evolutionary algorithms
Joint Authors
Source
International Journal of Intelligent Computing and Information Sciences
Issue
Vol. 8, Issue 1 (31 Jan. 2008)7 p.
Publisher
Ain Shams University Faculty of Computer and Information Sciences
Publication Date
2008-01-31
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Information Technology and Computer Science
Topics
Abstract EN
The paper presents a new evolutionary algorithm (EA) to solve the capacity allocation problem to a given network topology such that the average network throughput (ANT) is maximized.
Also, the problem can be defined as, find the maximum ANT such that the total cost of link capacities does not exceed the specified upper bound.
The proposed EA uses an encoding that represents the link options of the network topology while repairing the infeasible solutions using an additional repair heuristic RC (Repair Capacity) mechanism.
In experimental results, we compare the obtaining results with other previous approaches.
American Psychological Association (APA)
Yunus, A.& Hassan, M. R.. 2008. Optimizing the average network throughput with evolutionary algorithms. International Journal of Intelligent Computing and Information Sciences،Vol. 8, no. 1.
https://search.emarefa.net/detail/BIM-284630
Modern Language Association (MLA)
Yunus, A.& Hassan, M. R.. Optimizing the average network throughput with evolutionary algorithms. International Journal of Intelligent Computing and Information Sciences Vol. 8, no. 1 (Jan. 2008).
https://search.emarefa.net/detail/BIM-284630
American Medical Association (AMA)
Yunus, A.& Hassan, M. R.. Optimizing the average network throughput with evolutionary algorithms. International Journal of Intelligent Computing and Information Sciences. 2008. Vol. 8, no. 1.
https://search.emarefa.net/detail/BIM-284630
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references.
Record ID
BIM-284630
