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GECCO
2004
Springer
244views Optimization» more  GECCO 2004»
13 years 10 months ago
Using Clustering Techniques to Improve the Performance of a Multi-objective Particle Swarm Optimizer
In this paper, we present an extension of the heuristic called “particle swarm optimization” (PSO) that is able to deal with multiobjective optimization problems. Our approach ...
Gregorio Toscano Pulido, Carlos A. Coello Coello
WCE
2007
13 years 6 months ago
Image Enhancement Using Particle Swarm Optimization
Abstract—Applications of the Particle Swarm Optimization (PSO) to solve image processing problem with a reference to a new automatic enhancement technique based on real-coded par...
Malik Braik, Alaa F. Sheta, Aladdin Ayesh
CEC
2009
IEEE
14 years 1 days ago
A clustering particle swarm optimizer for dynamic optimization
Abstract—In the real world, many applications are nonstationary optimization problems. This requires that optimization algorithms need to not only find the global optimal soluti...
Changhe Li, Shengxiang Yang
EUSFLAT
2009
194views Fuzzy Logic» more  EUSFLAT 2009»
13 years 3 months ago
A Fuzzy Particle Swarm Optimization Algorithm for a Cell Formation Problem
Group technology (GT) is a useful way to increase productivity with high quality in cellular manufacturing systems (CMSs), in which cell formation (CF) is a key step in the GT phil...
Esmaeil Mehdizadeh, Reza Tavakkoli-Moghaddam
IJACTAICIT
2010
153views more  IJACTAICIT 2010»
13 years 4 days ago
Prediction Using Recurrent Neural Network Based Fuzzy Inference system by the Modified Bees Algorithm
In this paper, a recurrent neural network based fuzzy inference system (RNFIS) for prediction is proposed. A recurrent network is embedded in the RNFIS by adding feedback connecti...
Zahra Khanmirzaei, Mohammad Teshnehlab