- Tytuł:
- Evolutionary algorithm with a configurable search mechanism
- Autorzy:
-
Łapa, Krystian
Cpałka, Krzysztof
Laskowski, Łukasz
Cader, Andrzej
Zeng, Zhigang - Powiązania:
- https://bibliotekanauki.pl/articles/1837536.pdf
- Data publikacji:
- 2020
- Wydawca:
- Społeczna Akademia Nauk w Łodzi. Polskie Towarzystwo Sieci Neuronowych
- Tematy:
-
evolutionary algorithm
population-based algorithm
optimization
operator pool
operator selection
individual selection - Opis:
- In this paper, we propose a new population-based evolutionary algorithm that automatically configures the used search mechanism during its operation, which consists in choosing for each individual of the population a single evolutionary operator from the pool. The pool of operators comes from various evolutionary algorithms. With this idea, a flexible balance between exploration and exploitation of the problem domain can be achieved. The approach proposed in this paper might offer an inspirational alternative in creating evolutionary algorithms and their modifications. Moreover, different strategies for mutating those parts of individuals that encode the used search operators are also taken into account. The effectiveness of the proposed algorithm has been tested using typical benchmarks used to test evolutionary algorithms.
- Źródło:
-
Journal of Artificial Intelligence and Soft Computing Research; 2020, 10, 3; 151-171
2083-2567
2449-6499 - Pojawia się w:
- Journal of Artificial Intelligence and Soft Computing Research
- Dostawca treści:
- Biblioteka Nauki
Artykuł