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Adaptation of theScaling Factor Basedon the Success Ratein DifferentialEvolution : научноеиздание Stanovov VladimirSemenkin Eugene2024 год

Adaptation of the Scaling Factor Based on the Success Rate in Differential Evolution : научное издание
статья из журнала

Дополнительные ссылки: eLibrary
База данных: Каталог библиотеки СФУ
Библиографическое описание: Adaptation of the Scaling Factor Based on the Success Rate in Differential Evolution : научное издание / V. V. Stanovov, E. E. Semenkin. - Текст : непосредственный // Mathematics. - 2024. - Т. 12, № 4. - P. 516. - ISSN 2227-7390, DOI 10.3390/math12040516.
Аннотация: <jats:p>Differential evolution is a popular heuristic black-box numerical optimization algorithm which is often used due to its simplicity and efficiency. Parameter adaptation is one of the main directions of study regarding the differential evolution algorithm. The main reason for this is that differential evolution is highly sensitive to the scaling factor and crossover rate parameters. In this study, a novel adaptation technique is proposed which uses the success rate to replace the popular success history-based adaptation for scaling factor tuning. In particular, the scaling factor is sampled with a Cauchy distribution, whose location parameter is set as an nth order root of the current success rate, i.e., the ratio of improved solutions to the current population size. The proposed technique is universal and can be applied to any differential evolution variant. Here it is tested with several state-of-the-art variants of differential evolution, and on two benchmark sets, CEC 2017 and CEC 2022. The performed experiments, which include modifications of algorithms developed by other authors, show that in many cases using the success rate to determine the scaling factor can be beneficial, especially with relatively small computational resource.</jats:p>
Год издания: 2024
Авторы: Stanovov Vladimir , Semenkin Eugene
Издательство: MDPI, Basel
Источник: Mathematics
Выпуск: Т. 12, № 4
Номера страниц: 516
Держатель оригинала документа: Institute of Informatics and Telecommunication, Reshetnev Siberian State University of Science and Technology, 660037 Krasnoyarsk, Russia
Количество экземпляров:
Твёрдая копия издания отсутствует в фонде библиотеки

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