The asymptotic probabilistic genetic algorithm
- Авторы: Galushin PV1, Semenkin ES1
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Учреждения:
- Выпуск: Том 10, № 5 (2009)
- Страницы: 45-49
- Раздел: Статьи
- URL: https://journals.eco-vector.com/2712-8970/article/view/508554
- ID: 508554
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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.
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Список литературы
- 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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