Genetic algorithm dynamics on a rugged landscape
Statistical Mechanics
2009-10-31 v1 adap-org
Adaptation and Self-Organizing Systems
Populations and Evolution
Abstract
The genetic algorithm is an optimization procedure motivated by biological evolution and is successfully applied to optimization problems in different areas. A statistical mechanics model for its dynamics is proposed based on the parent-child fitness correlation of the genetic operators, making it applicable to general fitness landscapes. It is compared to a recent model based on a maximum entropy ansatz. Finally it is applied to modeling the dynamics of a genetic algorithm on the rugged fitness landscape of the NK model.
Cite
@article{arxiv.cond-mat/9903076,
title = {Genetic algorithm dynamics on a rugged landscape},
author = {Stefan Bornholdt},
journal= {arXiv preprint arXiv:cond-mat/9903076},
year = {2009}
}
Comments
10 pages RevTeX, 4 figures PostScript