Determination of Decision Rules on the Basis of Genetic Algorithms.

Autor: Goos, Gerhard, Hartmanis, Juris, van Leeuwen, Jan, Reusch, Bernd, Takahashi, Arita, Borisov, Arkady
Zdroj: Computational Intelligence (9783540660507); 1999, p40-46, 7p
Abstrakt: The paper considers generation of decision rules with the help of genetic algorithms. The performed experiments are described, and the results are analyzed. The instances are compared in which different object training sets are used for the pair comparison, i.e. for the evaluation of solutions generated by the genetic algorithm. There are compared the selection operator based on dominance features (Pareto set) and that of scalar function based. [ABSTRACT FROM AUTHOR]
Databáze: Supplemental Index