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Soft island model forpopulation-basedoptimizationalgorithms : научноеиздание Akhmedova S.Stanovov V.Semenkin E.2018 год

Soft island model for population-based optimization algorithms : научное издание
статья из журнала

Дополнительные ссылки: РИНЦ
База данных: Каталог библиотеки СФУ
Библиографическое описание: Soft island model for population-based optimization algorithms : научное издание / S. Akhmedova, V. Stanovov, E. Semenkin. - Текст : непосредственный // Lecture Notes in Computer Science (см. в книгах). - 2018. - Т.10941 LNCS, № . - P. 68-77. - ISSN 0302-9743. - ISSN 1611-3349, DOI 10.1007/978-3-319-93815-8_8.
Аннотация: Population-based optimization algorithms adopt a regular network as topologies with one set of potential solutions, which may encounter the problem of premature convergence. In order to improve the performance of optimization techniques, this paper proposes a soft island model topology. The initial population is virtually separated into several subpopulations, and the connection between individuals from subpopulations is probabilistic. The workability of the proposed model was demonstrated through its implementation to the Particle Swarm Optimization and Differential Evolution algorithms and their modifications. Experiments were conducted on benchmark functions taken from the CEC’2017 competition. The best parameters for the new topology adaptation mechanism were found. Results verify the effectiveness of the population-based algorithms with the proposed model when compared with the same algorithms without the model. It was established that by applying this topology adaptation mechanism, the population-based algorithms are able to balance their exploitation and exploration abilities during the search process.
Год издания: 2018
Авторы: Akhmedova S. , Stanovov V. , Semenkin E.
Издательство: Springer-Verlag GmbH
Источник: Lecture Notes in Computer Science (см. в книгах)
Выпуск: Т.10941 LNCS
Номера страниц: 68-77
Держатель оригинала документа: Reshetnev Siberian State University of Science and Technology
Количество экземпляров:
Твёрдая копия издания отсутствует в фонде библиотеки

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