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Parallel Genetic Algorithms with a continuity operator that allows for knowledge inclusion

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Andrés Toro, Bonifacio de and Girón Sierra, José María and Fernández Blanco, P. and Cruz García, Jesús Manuel de la and López Orozco, José Antonio (2000) Parallel Genetic Algorithms with a continuity operator that allows for knowledge inclusion. In Proceedings of the 2000 Congress on Evolutionary Computation, vols 1 and 2. IEEE, pp. 1137-1143. ISBN 0-7803-6375-2

Official URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=870776


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Abstract

In the recent years we introduced a continuity operator, the "Superindividual", that allows for the inclusion of knowledge in the evolution of the Genetic Algorithm, since we deal with very complex optimization problems, we developed a Parallel Genetic Algorithm, with the Superindividual operator. The paper presents this parallel algorithm, which improves on the results of the conventional Genetic Algorithm. Two different models of Parallel Genetic Algorithms are compared, the results are very encouraging.


Item Type:Book Section
Additional Information:

© 2000 IEEE. Congress on Evolutionary Computation (CEC 2000) (2000, Jul 16-19. La Jolla, California). The authors want to thank the support of the CICYT Spanish committee (project tap97-0607-c03-01). A lot of experience was taken in parallel GA modelling the motions of a fast ferry.

Uncontrolled Keywords:Computer Science Theory & Methods, Engineering Electrical & Electronic
Subjects:Sciences > Computer science
ID Code:26547
Deposited On:11 Sep 2014 09:32
Last Modified:04 Mar 2015 10:16

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