- Tytuł:
- Fireworks Algorithm for Unconstrained Function Optimization Problems
- Autorzy:
- Baidoo, E.
- Powiązania:
- https://bibliotekanauki.pl/articles/117784.pdf
- Data publikacji:
- 2017
- Wydawca:
- Polskie Towarzystwo Promocji Wiedzy
- Tematy:
-
Fireworks algorithm
Function optimization
swarm intelligence
Mathematical programming
Natural computing - Opis:
- Modern real world science and engineering problems can be classified as multi-objective optimisation problems which demand for expedient and efficient stochastic algorithms to respond to the optimization needs. This paper presents an object-oriented software application that implements a firework optimization algorithm for function optimization problems. The algorithm, a kind of parallel diffuse optimization algorithm is based on the explosive phenomenon of fireworks. The algorithm presented promising results when compared to other population or iterative based meta-heuristic algorithm after it was experimented on five standard ben-chmark problems. The software application was implemented in Java with interactive interface which allow for easy modification and extended expe-rimentation. Additionally, this paper validates the effect of runtime on the al-gorithm performance.
- Źródło:
-
Applied Computer Science; 2017, 13, 1; 61-74
1895-3735 - Pojawia się w:
- Applied Computer Science
- Dostawca treści:
- Biblioteka Nauki
Artykuł