844 search results - page 49 / 169 » Generalized crowding for genetic algorithms |
ESWA
2007
14 years 9 months ago
2007
Two parameters, C and r, must be carefully predetermined in establishing an efficient support vector machine (SVM) model. Therefore, the purpose of this study is to develop a gene...
GECCO
2008
Springer
14 years 10 months ago
2008
Springer
Maintaining diversity is important for the performance of evolutionary algorithms. Diversity mechanisms can enhance global exploration of the search space and enable crossover to ...
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GECCO
2008
Springer
14 years 10 months ago
2008
Springer
Deceptive problems have always been considered difficult for Genetic Algorithms. To cope with this characteristic, the literature has proposed the use of Parallel Genetic Algorith...
GECCO
2005
Springer
15 years 3 months ago
2005
Springer
Genetic Algorithms (GAs) are very commonly used as function optimizers, basically due to their search capability. A number of different serial and parallel versions of GA exist. ...
GECCO
2008
Springer
14 years 10 months ago
2008
Springer
The paper considers the problem of selecting individuals in the current population in Genetic Algorithms for crossover to find a solution of high fitness of a given combinatoria...