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» Particle Swarm Optimization Using Adaptive Mutation
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JUCS
2007
186views more  JUCS 2007»
14 years 9 months ago
An Hybrid Fuzzy Variable Neighborhood Particle Swarm Optimization Algorithm for Solving Quadratic Assignment Problems
: Recently, Particle Swarm Optimization (PSO) algorithm has exhibited good performance across a wide range of application problems. A quick review of the literature reveals that re...
Hongbo Liu, Ajith Abraham
GECCO
2008
Springer
171views Optimization» more  GECCO 2008»
14 years 10 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
EUSFLAT
2009
194views Fuzzy Logic» more  EUSFLAT 2009»
14 years 7 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
EUROGP
2005
Springer
117views Optimization» more  EUROGP 2005»
15 years 2 months ago
Extending Particle Swarm Optimisation via Genetic Programming
Abstract. Particle Swarm Optimisers (PSOs) search using a set of interacting particles flying over the fitness landscape. These are typically controlled by forces that encourage ...
Riccardo Poli, William B. Langdon, Owen Holland
GECCO
2005
Springer
190views Optimization» more  GECCO 2005»
15 years 2 months ago
An efficient evolutionary algorithm applied to the design of two-dimensional IIR filters
This paper presents an efficient technique of designing twodimensional IIR digital filters using a new algorithm involving the tightly coupled synergism of particle swarm optimiza...
Swagatam Das, Amit Konar, Uday Kumar Chakraborty