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Adaptation and Ruggedness in an Evolvability Landscape
Terry Van Belle and David H. Ackley
Department of Computer Science
University of New Mexico
Albuquerque, New Mexico, USA
{vanbelle,ackley}@cs.unm.edu
Abstract. Evolutionary processes depend on both selection – how fit any given individual may be, and on evolvability – how and how effectively new and fitter individuals are generated over time. While genetic algorithms typically represent the selection process explicitly by the fitness function and the information in the genomes, factors affecting evolvability are most often implicit in and distributed throughout the genetic algorithm itself, depending on the chosen genomic representation and genetic operators. In such cases, the genome itself has no direct control over evolvability except as determined by its fitness.
LNCS 2723, p. 150 f.
lncs@springer.de
© Springer-Verlag Berlin Heidelberg 2003