- Tytuł:
- A new approach to detecting and preventing populations stagnation through dynamic changes in multi-population-based algorithms
- Autorzy:
-
Łapa, Krystian
Rutkowska, Danuta
Byrski, Aleksander
Napoli, Christian - Powiązania:
- https://bibliotekanauki.pl/articles/23944836.pdf
- Data publikacji:
- 2023
- Wydawca:
- Społeczna Akademia Nauk w Łodzi. Polskie Towarzystwo Sieci Neuronowych
- Tematy:
-
multi-population-based algorithms
migration topologies
population stagnation - Opis:
- In this paper, a new mechanism for detecting population stagnation based on the analysis of the local improvement of the evaluation function and the infinite impulse response filter is proposed. The purpose of this mechanism is to improve the population stagnation detection capability for various optimization scenarios, and thus to improve multi-population-based algorithms (MPBAs) performance. In addition, various other approaches have been proposed to eliminate stagnation, including approaches aimed at both improving performance and reducing the complexity of the algorithms. The developed methods were tested, among the others, for various migration topologies and various MPBAs, including the MNIA algorithm, which allows the use of many different base algorithms and thus eliminates the need to select the population-based algorithm for a given simulation problem. The simulations were performed for typical benchmark functions and control problems. The obtained results confirm the validity of the developed method.
- Źródło:
-
Journal of Artificial Intelligence and Soft Computing Research; 2023, 13, 4; 289--306
2083-2567
2449-6499 - Pojawia się w:
- Journal of Artificial Intelligence and Soft Computing Research
- Dostawca treści:
- Biblioteka Nauki
Artykuł