Scaling Genetic Algorithms using MapReduce
Verma, A., Llorà, X., Campbell, R.H., Goldberg, D.E. (2009)TR No.: 2009007 | Download PDF | Download PS
Abstract: Genetic algorithms(GAs) are increasingly being applied to large scale problems. The traditional MPI-based parallel GAs do not scale very well. MapReduce is a powerful abstraction developed by Google for making scalable and fault tolerant applications. In this paper, we mould genetic algorithms into the the MapReduce model. We describe the algorithm design and implementation of […]
Posted: October 9th, 2009 under Data-intensive computing, Cloud computing, Genetic algorithms. Comments: none
Data-Intensive Computing for Competent Genetic Algorithms: A Pilot Study using Meandre
Llorà, X. (2009)TR No.: 2009001 | Download PDF | Download PS
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 […]
Posted: January 29th, 2009 under Data-intensive computing, Genetic algorithms. Comments: none