Using Entropy-Based Methods to Study General Constrained Parameter Optimization Problems
Statistical Mechanics
2009-11-07 v4 Disordered Systems and Neural Networks
Abstract
In this letter we propose the use of physics techniques for entropy determination on constrained parameter optimization problems. The main feature of such techniques, the construction of an unbiased walk on energy space, suggests their use on the quest for optimal solutions of an optimization problem. Moreover, the entropy, and its associated density of states, give us information concerning the feasibility of solutions.
Cite
@article{arxiv.cond-mat/0104527,
title = {Using Entropy-Based Methods to Study General Constrained Parameter Optimization Problems},
author = {A. R. Lima and M. Argollo de Menezes},
journal= {arXiv preprint arXiv:cond-mat/0104527},
year = {2009}
}
Comments
10 pages, 3 figures, references corrected