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CEC
2009
IEEE
14 years 2 months ago
Heterogeneous particle swarm optimizers
— Particle swarm optimization (PSO) is a swarm intelligence technique originally inspired by models of flocking and of social influence that assumed homogeneous individuals. Du...
Marco Antonio Montes de Oca, Jorge Peña, Th...
GECCO
2009
Springer
151views Optimization» more  GECCO 2009»
14 years 6 days ago
Black-box optimization benchmarking for noiseless function testbed using particle swarm optimization
This paper benchmarks the Particle Swarm Optimization (PSO) algorithm using the noise-free BBOB 2009 testbed. Categories and Subject Descriptors
Mohammed El-Abd, Mohamed S. Kamel
GECCO
2008
Springer
171views Optimization» more  GECCO 2008»
13 years 8 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
IAT
2008
IEEE
14 years 2 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