Generalized Evolutionary Algorithm based on Tsallis Statistics
人工智能
2007-05-23 v1
摘要
Generalized evolutionary algorithm based on Tsallis canonical distribution is proposed. The algorithm uses Tsallis generalized canonical distribution to weigh the configurations for `selection' instead of Gibbs-Boltzmann distribution. Our simulation results show that for an appropriate choice of non-extensive index that is offered by Tsallis statistics, evolutionary algorithms based on this generalization outperform algorithms based on Gibbs-Boltzmann distribution.
引用
@article{arxiv.cs/0407037,
title = {Generalized Evolutionary Algorithm based on Tsallis Statistics},
author = {Ambedkar Dukkipati and M. Narasimha Murty and Shalabh Bhatnagar},
journal= {arXiv preprint arXiv:cs/0407037},
year = {2007}
}
备注
Submitted to Physical Review E, 5 pages, 6 figures