Data-Intensive Computing for Competent Genetic Algorithms: A Pilot Study using Meandre

by Llorà, X. IlliGAL technical report 2009001. You can download the pdf here. Abstract: Data-intensive computing has positioned itself as a valuable programming paradigm to efficiently approach problems requiring processing very large volumes of data. This paper presents a pilot study about how to apply the data-intensive computing paradigm to evolutionary computation algorithms. Two representative cases—selectorecombinative genetic algorithms and estimation of distribution algorithms—are presented, analyzed, discussed. This study shows that equivalent data-intensive computing evolutionary computation algorithms can be easily developed, providing robust and scalable algorithms for the multicore-computing era....

Jan 29, 2009 · 1 min · 105 words · Xavier Llorà