Title :
A genetic algorithm with adaptable parameters
Author :
Quagliarella, D. ; Vicini, A.
Author_Institution :
Centro Italiano Ricerche Aerosp., Capua, Italy
fDate :
6/21/1905 12:00:00 AM
Abstract :
An approach to the self-adaptation of the parameters of a genetic algorithm to the optimization problem is described. The characterizing feature of the system presented is the structure of the evolving individuals, that are more similar to cells rather than to isolated genes with the introduction of a program chromosome besides the chromosome of the optimization problem variables. The basic scheme of the evolutionary optimizer is a multiple objective genetic algorithm based on the introduction of the dominance criteria in the selection mechanism. Some preliminary results are presented on a multimodal single-objective test function and the directions of future work are outlined
Keywords :
genetic algorithms; adaptable parameters; dominance criteria; evolutionary optimizer; evolving individuals; multimodal single-objective test function; multiple objective genetic algorithm; optimization problem; program chromosome; selection mechanism; self-adaptation; Algorithm design and analysis; Biological cells; Cells (biology); Computer aided instruction; Decoding; Genetic algorithms; Genetic mutations; Robustness; Springs; Testing;
Conference_Titel :
Systems, Man, and Cybernetics, 1999. IEEE SMC '99 Conference Proceedings. 1999 IEEE International Conference on
Conference_Location :
Tokyo
Print_ISBN :
0-7803-5731-0
DOI :
10.1109/ICSMC.1999.823280
