Optimizing the Broadcast in MANETs Using a Team of Evolutionary Algorithms

Authors:
Coromoto León;Gara Miranda;Carlos Segura
Affiliations:
Dpto. Estadística, I.O. y Computación, Universidad de La Laguna, La Laguna, Spain 38271;Dpto. Estadística, I.O. y Computación, Universidad de La Laguna, La Laguna, Spain 38271;Dpto. Estadística, I.O. y Computación, Universidad de La Laguna, La Laguna, Spain 38271
Venue:
Large-Scale Scientific Computing
Year:
2009

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Abstract

This work presents a new approach to optimize the broadcast operation in manets based on a team of evolutionary algorithms. A library of parallel algorithmic skeleton for the resolution of multi-objective optimization problems has been applied. This tool provides a C++implementation of a selection of the literature best-known evolutionary multi-objective algorithms and introduces the novelty of the algorithms cooperation for the resolution of a given problem. The algorithms used in the implementation are: spea, spea2, and nsga2. The computational results obtained on a cluster of PCs are presented.