Evolution Strategies in Optimization Problems
Optimization and Control
2007-12-30 v1
Abstract
Evolution Strategies are inspired in biology and part of a larger research field known as Evolutionary Algorithms. Those strategies perform a random search in the space of admissible functions, aiming to optimize some given objective function. We show that simple evolution strategies are a useful tool in optimal control, permitting to obtain, in an efficient way, good approximations to the solutions of some recent and challenging optimal control problems.
Keywords
Cite
@article{arxiv.0709.1020,
title = {Evolution Strategies in Optimization Problems},
author = {Pedro A. F. Cruz and Delfim F. M. Torres},
journal= {arXiv preprint arXiv:0709.1020},
year = {2007}
}
Comments
Partially presented at the 5th Junior European Meeting on "Control and Information Technology" (JEM'06), Sept 20-22, 2006, Tallinn, Estonia. To appear in "Proceedings of the Estonian Academy of Sciences -- Physics Mathematics"