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EVOW
2007
Springer

Genetic Representations for Evolutionary Minimization of Network Coding Resources

9 years 7 months ago
Genetic Representations for Evolutionary Minimization of Network Coding Resources
Abstract. We demonstrate how a genetic algorithm solves the problem of minimizing the resources used for network coding, subject to a throughput constraint, in a multicast scenario. A genetic algorithm avoids the computational complexity that makes the problem NP-hard and, for our experiments, greatly improves on sub-optimal solutions of established methods. We compare two different genotype encodings, which tradeoff search space size with fitness landscape, as well as the associated genetic operators. Our finding favors a smaller encoding despite its fewer intermediate solutions and demonstrates the impact of the modularity enforced by genetic operators on the performance of the algorithm.
Minkyu Kim, Varun Aggarwal, Una-May O'Reilly, Muri
Added 07 Jun 2010
Updated 07 Jun 2010
Type Conference
Year 2007
Where EVOW
Authors Minkyu Kim, Varun Aggarwal, Una-May O'Reilly, Muriel Médard, Wonsik Kim
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