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On a self-organizing property of genetic algorithms

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4 Author(s)
Nishikawa, Y. ; Dept. of Electr. Eng., Kyoto Univ., Japan ; Tamaki, H. ; Kita, H. ; Shimizu, N.

The dynamics of a genetic algorithm (GA) is investigated from the viewpoint of self-organization. The dynamics of the simple GA is modeled by difference equations. The equations are examined by computer simulation, and it is shown that the GA selects a genotype robust to a mutation. This property becomes remarkable when a crossover operator is introduced. The GA is applied to a simple optimization problem with redundant genetic coding. Results of computer simulations show that the GA selects a genetic representation that is robust to reduction of fitness value by the mutation and the crossover as well

Published in:

Autonomous Decentralized Systems, 1993. Proceedings. ISADS 93., International Symposium on

Date of Conference:

1993