348 search results - page 1 / 70 » An adaptive learning particle swarm optimizer for function o... |
CEC
2009
IEEE
14 years 6 months ago
2009
IEEE
— Traditional particle swarm optimization (PSO) suffers from the premature convergence problem, which usually results in PSO being trapped in local optima. This paper presents an...
CEC
2010
IEEE
14 years 9 days ago
2010
IEEE
This paper presents an updated version of the adaptive learning particle swarm optimizer (ALPSO) [6], we call it ALPSO-II. In order to improve the performance of ALPSO on multi-mod...
CEC
2008
IEEE
14 years 5 months ago
2008
IEEE
—The particle swarm optimizer (PSO) is a popular computing technique of swarm intelligence, known for its fast convergence speed and easy implementation. All the particles in the...
ICMLA
2004
14 years 17 days ago
2004
: The particle swarm is one of the most powerful methods for solving global optimization problems. This method is an adaptive algorithm based on social-psychological metaphor. A po...
GECCO
2004
Springer
14 years 4 months ago
2004
Springer
This paper proposes an improved particle swarm optimizer using the notion of species to determine its neighbourhood best values, for solving multimodal optimization problems. In th...