Piecewise Linear Topology, Evolutionary Algorithms, and Optimization Problems
Neural and Evolutionary Computing
2012-06-29 v1 General Topology
Optimization and Control
Abstract
Schemata theory, Markov chains, and statistical mechanics have been used to explain how evolutionary algorithms (EAs) work. Incremental success has been achieved with all of these methods, but each has been stymied by limitations related to its less-than-global view. We show that moving the investigation into topological space improves our understanding of why EAs work.
Cite
@article{arxiv.1206.6722,
title = {Piecewise Linear Topology, Evolutionary Algorithms, and Optimization Problems},
author = {Andrew Clark},
journal= {arXiv preprint arXiv:1206.6722},
year = {2012}
}
Comments
PDF from Word docx, 11 pages, no figures