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EGONET: A GENETIC ALGORITHM MODEL FOR THE OPTIMISATION OF TELEPHONE NETWORKS
Authors:
K. Tout a;
E. Von Goldammer b;
D. J. Evans c
| Affiliations: | a Faculty of Sciences I, Lebanese University, Beirut, Lebanon. |
| b Institut fuer Kybernetik & Systemtheorie, 44388 Dortmund, Germany. | |
| c Dept. of Computing, Nottingham Trent University, Nottingham, UK. |
DOI:
10.1080/0020716021000059124
Publication Frequency:
12 issues per year
Published in:
International Journal of Computer Mathematics,
Volume
80,
Issue
4
April
2003
, pages 441
- 455
International Journal of Computer Mathematics,
Volume
80,
Issue
4
April
2003
, pages 441
- 455
Subjects:
Analysis - Mathematics;
Bioinformatics;
Computer Mathematics;
Discrete Mathematics;
Mathematical Finance;
Mathematical Logic;
Mathematical Numerical Analysis;
Systems & Computer Architecture;
Number of References: 10
Formats available:
PDF
(English)
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Abstract
The aim of this paper is to study the use of genetic algorithms for the optimisation of telephone networks layout design. The genetic algorithms are used to design the network in a geographical sense with minimum costs depending on a set of real-world rules (constraints). A genetic algorithm tool (EGONET) is described. EGONET is written in ANSI-C and thus can be used on a wide range of platforms. EGONET was tested under Unix/Linux, OS/2 and Windows 98.
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| Keywords: Optimisation; Heuristic Algorithms; Telephone Networks; Genetic Algorithms; Networks Layout Design |
| view references (10) |
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