Enviar artigo por via de e-mail The asymptotic probabilistic genetic algorithm
- Autores: Galushin PV1, Semenkin ES1
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Afiliações:
- Siberian State Aerospace University named after academician M. F. Reshetnev, Russia, Krasnoyarsk
- Edição: Volume 10, Nº 5 (2009)
- Páginas: 45-49
- Seção: Articles
- ##submission.datePublished##: 19.12.2009
- URL: https://journals.eco-vector.com/2712-8970/article/view/508554
- ID: 508554
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Resumo
This paper proposes the modification of probabilistic genetic algorithm, which uses genetic operators, not affecting the particular solutions, but the probabilities distribution of solution vector's components. This paper also compares the reliability and efficiency of the base algorithm and proposed modification using the set of test optimization problems and bank loan portfolio problem.
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Sobre autores
P Galushin
Siberian State Aerospace University named after academician M. F. Reshetnev, Russia, KrasnoyarskSiberian State Aerospace University named after academician M. F. Reshetnev, Russia, Krasnoyarsk
E Semenkin
Siberian State Aerospace University named after academician M. F. Reshetnev, Russia, KrasnoyarskSiberian State Aerospace University named after academician M. F. Reshetnev, Russia, Krasnoyarsk
Bibliografia
- Semenkin, E. S. Probabilistic evolutionary algorithms of complex systems optimization/E. S. Semenkin, E. A. Sopov // Proc. of Int. Conf. Intelligent systems (AIS'05) and Intelligent CAD (CAD-2005): in 3 vol. Vol. 1. M.: Fizmatlit, 2005. (inRussian)
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