Asynchronous Peer-to-Peer Communication for Failure Resilient Distributed Genetic Algorithms

J.C.Clemente Litrá, X. Défago, and K. Satou (Japan)


Genetic Algorithms, Fault Tolerance, Distributed Systems,Peer-to-peer


This paper presents a grid service for solving optimization problems based on genetic algorithms. The proposed solu tion extensively uses peer-to-peer technology and epidemic protocols in order to improve scalability and failure re silience. This considerably relaxes the model traditionally used by genetic algorithm libraries. However, experimental results show that the convergence of the genetic algorithm is not necessarily impaired by the weaker model.

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