Titlebook: Parallel and Distributed Computational Intelligence; Francisco Fernández Vega,Erick Cantú-Paz Book 20101st edition Springer-Verlag Berlin

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When Huge Is Routine: Scaling Genetic Algorithms and Estimation of Distribution Algorithms via Data-Intensive Computing,meworks have shown that terabytes and petabytes of data can be routinely processed. However, there has been little effort to explore how data-intensive computing can help scale evolutionary computation. In this book chapter we explore how evolutionary computation algorithms can be modeled using two

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Evolutionary Algorithms on Volunteer Computing Platforms: The MilkyWay@Home Project,m inherently complex fitness evaluation functions, large numbers of individuals per generation, and the number of iterations required by EAs to converge to a satisfactory solution. Therefore, any source of computing power can significantly benefit researchers using evolutionary algorithms. We presen