Hierarchical Crossover and Probability Landscapes of Genetic Operators
adap-org
2015-06-30 v1 Adaptation and Self-Organizing Systems
Abstract
The time evolution of a simple model for crossover is discussed. A variant of this model with an improved exploration behavior in phase space is derived as a subset of standard one- and multi-point crossover operations. This model is solved analytically in the flat fitness case. Numerical simulations compare the way of phase space exploration of different genetic operators. In the case of a non-flat fitness landscape, numerical solutions of the evolution equations point out ways to estimate premature convergence.
Keywords
Cite
@article{arxiv.adap-org/9504006,
title = {Hierarchical Crossover and Probability Landscapes of Genetic Operators},
author = {Stefan Bornholdt and Heinz Georg Schuster},
journal= {arXiv preprint arXiv:adap-org/9504006},
year = {2015}
}
Comments
11 pages, uuencoded postcript file