397 search results - page 1 / 80 » Particle Swarms for Multimodal Optimization |
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...
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...
GECCO
2007
Springer
13 years 11 months ago
2007
Springer
A new hybrid approach to optimization in dynamical environments called Collaborative Evolutionary-Swarm Optimization (CESO) is presented. CESO tracks moving optima in a dynamical ...
ICANNGA
2007
Springer
13 years 8 months ago
2007
Springer
Abstract. In this paper, five previous Particle Swarm Optimization (PSO) algorithms for multimodal function optimization are reviewed. A new and a successful PSO based algorithm, n...
GECCO
2006
Springer
13 years 8 months ago
2006
Springer
Niching techniques play an important role in evolutionary algorithms. Existing niching methods often require userspecified parameters, limiting their usefulness. This paper propos...