A comparative study of evolutionary network design

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2003
Kalkan, Sinan
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In network design, a communication network is optimized for a given set of parameters like cost, reliability and delay. This study analyzes network design problem using Genetic Algorithms in detail and makes comparison of different approaches and representations. Encoding of a problem is one of the most crucial design choices in Genetic Algorithms. For network design problem, this study compares adjacency matrix representation with list of edges representation. Also, another problem is defining a fair fitness function that will not favor one optimization parameter to the other. Multi-objective optimization is a recommended solution for such problems. This study describes and compares some of those approaches for different combinations in network design problem.
Computer networks, Genetic algorithms, Multiobjective optimization, Network design, Network repre sentations, Adjacency representation, Edge representation
http://etd.lib.metu.edu.tr/upload/1097518/index.pdf
https://hdl.handle.net/11511/13872
Graduate School of Natural and Applied Sciences, Thesis

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Citation Formats
S. Kalkan, “A comparative study of evolutionary network design,” M.S. - Master of Science, Middle East Technical University, 2003.
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