Improving DE-based cooperative coevolution for constrained large-scale global optimization problems using an increasing grouping strategy : доклад, тезисы доклада

Vakhnin A.A.; Sopov E.E.

Дополнительные ссылки: eLibrary · Источник статьи

База данных: Каталог библиотеки СФУ

Библиографическое описание: Improving DE-based cooperative coevolution for constrained large-scale global optimization problems using an increasing grouping strategy : доклад, тезисы доклада / A. A. Vakhnin, E. E. Sopov. - [S. l. : s. n.], 2020. - Текст : непосредственный // IOP Conference Series: Materials Science and Engineering / Krasnoyarsk Science and Technology City Hall of the Russian Union of Scientific and Engineering Associations ; II International Scientific Conference "Advanced Technologies in Aerospace, Mechanical and Automation Engineering" (2019 ; 18.11 - 21.11 ; Krasnoyarsk) : Institute of Physics and IOP Publishing Limited, 2020. - 734. - P. 12099. - DOI 10.1088/1757-899X/734/1/012099.

Аннотация: Nowadays, high-dimensional constrained «Black-Box» (BB) optimization problems has become more urgent. At the same time, the constrained large-scale global optimization (cLSGO) problems are not well studied and many modern optimization approaches demonstrate low performance when dealing with cLSGO problems. Evolution algorithms (EAs) has proved their efficiency in solving low-dimensional constrained optimization problems and high-dimensional single-objective optimization problems. In this study, we have proposed a new approach based on the cooperative coevolution (CC) framework and an algorithm for increasing size of variables grouping on the decomposition stage (iCC) when solving cLSGO problems. We have proposed a novel EA that combines SHADE, iCC and ε-constrained method (ε-iCC-SHADE). The proposed optimization algorithm has been investigated using a new cLSGO benchmark, which is based on scalable problems from IEEE CEC 2017 Competition on Constrained Real-Parameter Optimization. The numerical experiments have shown that ε-iCC-SHADE outperforms the early proposed ε-CC-SHADE algorithm which operates with the fixed number of subcomponents.

Год издания: 2020

Авторы: Vakhnin A.A. , Sopov E.E.

Издательство: Institute of Physics and IOP Publishing Limited

Источник: IOP Conference Series: Materials Science and Engineering

Выпуск: 734

Мероприятие: II International Scientific Conference "Advanced Technologies in Aerospace, Mechanical and Automation Engineering" (Krasnoyarsk, 2019 ; 18.11 - 21.11)

Номера страниц: 12099

Держатель оригинала документа: Reshetnev Siberian State University of Science and Technology

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