Distributed Probabilistic Model-Building Genetic Algorithm View Full Text


Ontology type: schema:Chapter      Open Access: True


Chapter Info

DATE

2003

AUTHORS

Tomoyuki Hiroyasu , Mitsunori Miki , Masaki Sano , Hisashi Shimosaka , Shigeyoshi Tsutsui , Jack Dongarra

ABSTRACT

In this paper, a new model of Probabilistic Model-Building Genetic Algorithms (PMBGAs), Distributed PMBGA (DPMBGA), is proposed. In the DPMBGA, the correlation among the design variables is considered by Principal Component Analysis (PCA) when the off-springs are generated. The island model is also applied in the DPMBGA for maintaining the population diversity. Through the standard test functions, some models of DPMBGA are examined. The DPMBGA where PCA is executed in the half of the islands can find the good solutions in the problems whether or not the problems have the correlation among the design variables. At the same time, the search capability and some characteristics of the DPMBGA are also discussed. More... »

PAGES

1015-1028

References to SciGraph publications

Book

TITLE

Genetic and Evolutionary Computation — GECCO 2003

ISBN

978-3-540-40602-0
978-3-540-45105-1

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/3-540-45105-6_112

DOI

http://dx.doi.org/10.1007/3-540-45105-6_112

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1029617980


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