Computer Science – Artificial Intelligence
Scientific paper
2004-07-16
Computer Science
Artificial Intelligence
Submitted to Physical Review E, 5 pages, 6 figures
Scientific paper
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.
Bhatnagar Shalabh
Dukkipati Ambedkar
Murty Narasimha M.
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