- Tytuł:
- Comparative Study of Particle Swarm Optimization and Genetic Algorithms for Complex Mathematical Functions
- Autorzy:
-
Valdez, F.
Melin, P. - Powiązania:
- https://bibliotekanauki.pl/articles/384575.pdf
- Data publikacji:
- 2008
- Wydawca:
- Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
- Tematy:
-
genetic algorithms
particle swarm optimization (PSO)
hybrid systems
optimization - Opis:
- The Particle Swarm Optimization (PSO) and the Genetic Algorithms (GA) have been used successfully in solving problems of optimization with continuous and combinatorial search spaces. In this paper the results of the application of PSO and GAs for the optimization of mathematical functions are presented. These two methodologies have been implemented with the goal of making a comparison of their performance in solving complex optimization problems. This paper describes a comparison between a GA and PSO for the optimization of complex mathematical functions.
- Źródło:
-
Journal of Automation Mobile Robotics and Intelligent Systems; 2008, 2, 1; 43-51
1897-8649
2080-2145 - Pojawia się w:
- Journal of Automation Mobile Robotics and Intelligent Systems
- Dostawca treści:
- Biblioteka Nauki
Artykuł