Title :
On the use of niching for dynamic landscapes
Author :
Cedeño, Walter ; Vemuri, V. Rao
Author_Institution :
Hewlett-Packard Co., Wilmington, DE, USA
Abstract :
Application of genetic algorithms to problems where the fitness landscape changes dynamically is a challenging problem. Genetic algorithms for such environments must maintain a diverse population that can adapt to the changing landscape and locate better solutions dynamically. A niching genetic algorithm suitable for locating multiple solutions in a multimodal landscape is applied. The results show the suitability of such approach to locate and maintain solutions in a dynamic landscape
Keywords :
genetic algorithms; diverse population; dynamic landscapes; fitness landscape; multimodal landscape; multiple solutions; niching genetic algorithm; Bioinformatics; Biological cells; Condition monitoring; Encoding; Genetic algorithms; Genetic mutations; Genomics; History; Investments; Stock markets;
Conference_Titel :
Evolutionary Computation, 1997., IEEE International Conference on
Conference_Location :
Indianapolis, IN
Print_ISBN :
0-7803-3949-5
DOI :
10.1109/ICEC.1997.592336
