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Adaptive Genetic Algorithm (CROSBI ID 88177)

Prilog u časopisu | izvorni znanstveni rad

Jakobović, Domagoj ; Golub, Marin Adaptive Genetic Algorithm // CIT. Journal of computing and information technology, 7 (1999), 3; 229-235-x

Podaci o odgovornosti

Jakobović, Domagoj ; Golub, Marin

engleski

Adaptive Genetic Algorithm

In this paper we introduce an adaptive, 'self-contained' genetic algorithm (GA) with steady-state selection. This variant of GA utilizes empirically based methods for calculating its control parameters. The adaptive algorithm estimates the percent of the population to be replaced with new individuals (generation gap). It chooses the solutions for crossover and varies the number of mutations, all regarding the current population state. The state of the population is evaluated by observing some of its characteristic values, such as the best and worst individual's cost function (fitness) values, the population average etc. Furthermore, a non-uniform mutation operator is introduced, which increases the algorithm's efficiency. Adaptive method does not, however, restrict the applicability in any way. The described GA is applied to optimization of several multimodal functions with various degrees of complexity, employed earlier for comparative studies. Some deceptive problems were also taken into consideration, and a comparison between the adaptive and standard genetic algorithm has been made.

genetic algorithm; local and global optima; adaptive genetic operators

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Podaci o izdanju

7 (3)

1999.

229-235-x

objavljeno

1330-1136

Povezanost rada

Računarstvo