116 search results - page 13 / 24 » A new quantum behaved particle swarm optimization |
113
Voted
EVOW
2006
Springer
15 years 5 months ago
2006
Springer
A new model for evolving the structure of a Particle Swarm Optimization (PSO) algorithm is proposed in this paper. The model is a hybrid technique that combines a Genetic Algorithm...
GECCO
2005
Springer
15 years 7 months ago
2005
Springer
This paper introduces a novel scheme of improving the performance of particle swarm optimization (PSO) by a vector differential operator borrowed from differential evolution (DE)....
GECCO
2005
Springer
15 years 7 months ago
2005
Springer
We explore the use of information models as a guide for the development of single objective optimization algorithms, giving particular attention to the use of Bayesian models in a...
105
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ICMCS
2007
IEEE
15 years 8 months ago
2007
IEEE
A common trait of background subtraction algorithms is that they have learning rates, thresholds, and initial values that are hand-tuned for a scenario in order to produce the des...
142
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PRL
2007
15 years 1 months ago
2007
: We propose a new feature selection strategy based on rough sets and Particle Swarm Optimization (PSO). Rough sets has been used as a feature selection method with much success, b...