Asynchronous Peer-To-Peer Communication For Failure Resilient Distributed Genetic Algorithms
JosCarlos Clemente, Xavier Défago, Jose Carlos Clemente Litran, Kenji Satou, Key words · 2003
This paper presents a grid service for solving optimization problems based on genetic algorithms. The proposed solution extensively uses peer-to-peer technology and epidemic protocols in order to improve scalability and failure resilience. 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.