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» Rule Discovery with Particle Swarm Optimization
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GECCO
2010
Springer
206views Optimization» more  GECCO 2010»
13 years 8 months ago
Development of efficient particle swarm optimizers by using concepts from evolutionary algorithms
Particle swarm optimization (PSO) has been in practice for more than 10 years now and has gained wide popularity in various optimization tasks. In the context to single objective ...
Kalyanmoy Deb, Nikhil Padhye
GECCO
2005
Springer
197views Optimization» more  GECCO 2005»
13 years 10 months ago
Breeding swarms: a GA/PSO hybrid
Abstract. In this paper we propose a novel hybrid (GA/PSO) algorithm, Breeding Swarm, combining the strengths of particle swarm optimization with genetic algorithms. The hybrid alg...
Matthew Settles, Terence Soule
CEC
2007
IEEE
13 years 9 months ago
Gene selection in cancer classification using PSO/SVM and GA/SVM hybrid algorithms
In this work we compare the use of a Particle Swarm Optimization (PSO) and a Genetic Algorithm (GA) (both augmented with Support Vector Machines SVM) for the classification of high...
Enrique Alba, José García-Nieto, Lae...
TFS
2008
157views more  TFS 2008»
13 years 4 months ago
Efficient Self-Evolving Evolutionary Learning for Neurofuzzy Inference Systems
Abstract--This study proposes an efficient self-evolving evolutionary learning algorithm (SEELA) for neurofuzzy inference systems (NFISs). The major feature of the proposed SEELA i...
Cheng-Jian Lin, Cheng-Hung Chen, Chin-Teng Lin
TIFS
2010
123views more  TIFS 2010»
13 years 3 months ago
A new framework for adaptive multimodal biometrics management
This paper presents a new evolutionary approach for adaptive combination of multiple biometrics to ensure the optimal performance for the desired level of security. The adaptive c...
Ajay Kumar, Vivek Kanhangad, David Zhang