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IAT
2008
IEEE
13 years 11 months ago
An Improved Discrete Particle Swarm Optimization Based on Cooperative Swarms
The discrete particle swarm optimization (DPSO) is a kind of particle swarm optimization (PSO) algorithm to find optimal solutions for discrete problems. This paper proposes an i...
Yiheng Xu, Qiangwei Wang, Jinglu Hu
GECCO
2008
Springer
171views Optimization» more  GECCO 2008»
13 years 5 months ago
Particle swarm clustering ensemble
Extracting natural groups of the unlabeled data is known as clustering. To improve the stability and robustness of the clustering outputs, clustering ensembles have emerged recent...
Abbas Ahmadi, Fakhri Karray, Mohamed Kamel
ICMLA
2004
13 years 5 months ago
A new discrete binary particle swarm optimization based on learning automata
: 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...
Reza Rastegar, Mohammad Reza Meybodi, Kambiz Badie
GECCO
2007
Springer
166views Optimization» more  GECCO 2007»
13 years 8 months ago
Understanding particle swarms through simplification: a study of recombinant PSO
Simplified forms of the particle swarm algorithm are very beneficial in contributing to understanding of what makes a PSO swarm function in the way that it does. One of these form...
Daniel Bratton, Tim Blackwell
GECCO
2006
Springer
187views Optimization» more  GECCO 2006»
13 years 8 months ago
The gregarious particle swarm optimizer (G-PSO)
This paper presents a gregarious particle swarm optimization algorithm (G-PSO) in which the particles explore the search space by aggressively scouting the local minima with the h...
Srinivas Pasupuleti, Roberto Battiti