Мақаланы E-mail арқылы жіберу The asymptotic probabilistic genetic algorithm
- Авторлар: Galushin PV1, Semenkin ES1
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Мекемелер:
- Siberian State Aerospace University named after academician M. F. Reshetnev, Russia, Krasnoyarsk
- Шығарылым: Том 10, № 5 (2009)
- Беттер: 45-49
- Бөлім: Articles
- URL: https://journals.eco-vector.com/2712-8970/article/view/508554
- ID: 508554
Дәйексөз келтіру
Толық мәтін
Аннотация
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.
Негізгі сөздер
Авторлар туралы
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
Әдебиет тізімі
- 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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