25 search results - page 2 / 5 » Convergence behavior of the fully informed particle swarm op... |
GECCO
2004
Springer
13 years 11 months ago
2004
Springer
Maximin strategy has its origin in game theory, but it can be adopted for effective multiobjective optimization. This paper proposes a particle swarm multiobjective optimiser, max...
ISICA
2007
Springer
14 years 8 days ago
2007
Springer
The standard Particle Swarm Optimization (PSO) algorithm is a novel evolutionary algorithm in which each particle studies its own previous best solution and the group’s previous ...
CEC
2009
IEEE
14 years 27 days 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...
GECCO
2007
Springer
14 years 9 days ago
2007
Springer
This paper introduces a method for clustering complex and linearly non-separable datasets, without any prior knowledge of the number of naturally occurring clusters. The proposed ...
HIS
2009
13 years 3 months ago
2009
: Particle Swarm Optimization (PSO) is arguably one of the most popular nature- inspired algorithms for real parameter optimization at present. The existing theoretical research on...