%0 Book Section
%@holdercode {isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S}
%3 oliveira_an adaptive.pdf
%X Genetic algorithms, inspired by the theory of evolution of species, are intended to be unfair. Individuals compete against each other and the best-adapted ones prevail. Unfairness is due to big differences of skills, generally evaluated by a fitness measure, in a population of individuals competing for survival. However, population diversity is important to preserve some features that are not always associated to high ranked skills. Such diversity can be achieved by imposing fairness rules to the competition. The adaptive hierarchical fair competition genetic algorithm has been proposed to comply with this feature by segregating individuals in casts or demes, according to their fitness. This work proposes a parallel implementation that enhances the capabilities and computational performance of an adaptive hierarchical fair competition genetic algorithm. The code was parallelized using the MPI (Message Passing Interface) communication library and executed in a distributed memory parallel machine, a PC cluster. Test results are shown for standard numerical optimization problems presenting hundreds of variables.
%E Barros, Allan,
%E Araujo, Aluizio,
%E Yehia, Hani C.,
%E Teixeira, Roselito,
%T An adaptive hierarchical fair competition genetic algorithm for large-scale numerical optimization
%@isbn 8589029042
%@electronicmailaddress acmo@deinf.ufma.br
%@electronicmailaddress lorena@lac.inpe.br
%@electronicmailaddress airam@lac.inpe.br
%@electronicmailaddress stephan@lac.inpe.br
%@secondarytype PRE LI
%K genetic algorithms.
%@nexthigherunit 8JMKD3MGPCW/3ESGTTP
%B Proceedings of SBRN 2004 - 8th Brazilian Symposium on Neural Networks
%@usergroup administrator
%@usergroup jefferson
%@group
%@group LAC-INPE-MCT-BR
%@group LAC-INPE-MCT-BR
%@group LAC-INPE-MCT-BR
%C CA, USA
%@secondarykey INPE--/
%2 sid.inpe.br/marciana/2004/12.15.16.06.37
%@affiliation Universidade Federal do Maranhão (UFMA)
%@affiliation Instituto Nacional de Pesquisas Espaciais (INPE)
%@affiliation Instituto Nacional de Pesquisas Espaciais (INPE)
%@affiliation Instituto Nacional de Pesquisas Espaciais (INPE)
%P x
%4 sid.inpe.br/marciana/2004/12.15.16.06
%D 2004
%@documentstage not transferred
%A Oliveira, Alexandre Cesar Muniz de,
%A Lorena, Luiz Antonio Nogueira,
%A Preto, Airam Jonatas,
%A Stephany, Stephan,
%@dissemination NTRSNASA; BNDEPOSITOLEGAL.
%@area COMP