348 search results - page 1 / 70 » An adaptive learning particle swarm optimizer for function o... |
CEC
2009
IEEE
13 years 11 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
13 years 5 months 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
13 years 11 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
13 years 6 months 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
13 years 10 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...