The asymptotic probabilistic genetic algorithm


如何引用文章

全文:

详细

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.

作者简介

P Galushin

Siberian State Aerospace University named after academician M. F. Reshetnev, Russia, Krasnoyarsk

Siberian State Aerospace University named after academician M. F. Reshetnev, Russia, Krasnoyarsk

E Semenkin

Siberian State Aerospace University named after academician M. F. Reshetnev, Russia, Krasnoyarsk

Siberian State Aerospace University named after academician M. F. Reshetnev, Russia, Krasnoyarsk

参考

  1. 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)

补充文件

附件文件
动作
1. JATS XML

版权所有 © Galushin P.V., Semenkin E.S., 2009

Creative Commons License
此作品已接受知识共享署名 4.0国际许可协议的许可