- Tytuł:
- Self-Adaptive Differential Evolution with Hybrid Rules of Perturbation for Dynamic Optimization
- Autorzy:
-
Trojanowski, K.
Raciborski, M.
Kaczyński, P. - Powiązania:
- https://bibliotekanauki.pl/articles/308439.pdf
- Data publikacji:
- 2011
- Wydawca:
- Instytut Łączności - Państwowy Instytut Badawczy
- Tematy:
-
adaptive differential evolution
dynamic optimization
symmetric a-stable distribution - Opis:
- In this paper an adaptive differential evolution approach for dynamic optimization problems is studied. A new benchmark suite Syringa is also presented. The suite allows to generate test-cases from a multiple number of dynamic optimization classes. Two dynamic benchmarks: Generalized Dynamic Benchmark Generator (GDBG) and Moving Peaks Benchmark (MPB) have been simulated in Syringa and in the presented research they were subject of the experimental research. Two versions of adaptive differential evolution approach, namely the jDE algorithm have been heavily tested: the pure version of jDE and jDE equipped with solutions mutated with a new operator. The operator uses a symmetric ?-stable distribution variate for modification of the solution coordinates.
- Źródło:
-
Journal of Telecommunications and Information Technology; 2011, 4; 20-30
1509-4553
1899-8852 - Pojawia się w:
- Journal of Telecommunications and Information Technology
- Dostawca treści:
- Biblioteka Nauki
Artykuł