2011/05/25 by P. A. Castillo, Pedro Á. Castillo, Castillo, P. A. +15
Computer Science · #Advanced Database Systems and Queries #Evolutionary Algorithms and Applications #Metaheuristic Optimization Algorithms Research #cs.NE
paper · pdf · doi:10.48550/arxiv.1105.4971
Paper 3 for the First International Workshop of Distributed Evolutionary computation in Informal Environments
arxiv created 2011/05/25 · arxiv updated 2011/05/26
This paper analises distributed evolutionary computation based on the Representational State Transfer (REST) protocol, which overlays a farming model on evolutionary computation. An approach to evolutionary distributed optimisation of multilayer perceptrons (MLP) using REST and language Perl has been done. In these experiments, a master-slave based evolutionary algorithm (EA) has been implemented, where slave processes evaluate the costly fitness function (training a MLP to solve a classification problem). Obtained results show that the parallel version of the developed programs obtains similar or better results using much less time than the sequential version, obtaining a good speedup.