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

被引：0

作者：

Toro, BD ^{[1
]}

Girón-Sierra, JM ^{[1
]}

Fernández-Blanco, P ^{[1
]}

de la Cruz, JM ^{[1
]}

López-Orozco, JA ^{[1
]}

机构：

[1] Univ Complutense, Dept Arquitectura Computadores & Automat, Madrid 28040, Spain

来源：

PROCEEDINGS OF THE 2000 CONGRESS ON EVOLUTIONARY COMPUTATION, VOLS 1 AND 2 | 2000年

关键词：

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

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.

引用

页码：1137 / 1143

页数：7

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