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» On convergence of multi-objective Particle Swarm Optimizers
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GECCO
2007
Springer
176views Optimization» more  GECCO 2007»
14 years 1 months ago
Two-level of nondominated solutions approach to multiobjective particle swarm optimization
In multiobjective particle swarm optimization (MOPSO) methods, selecting the local best and the global best for each particle of the population has a great impact on the convergen...
M. A. Abido
ICPR
2008
IEEE
14 years 9 months ago
Unsupervised design of Artificial Neural Networks via multi-dimensional Particle Swarm Optimization
In this paper, we present a novel and efficient approach for automatic design of Artificial Neural Networks (ANNs) by evolving to the optimal network configuration(s) within an ar...
E. Alper Yildirim, Ince Turker, Moncef Gabbouj, Se...
GECCO
2007
Springer
209views Optimization» more  GECCO 2007»
14 years 1 months ago
Kernel based automatic clustering using modified particle swarm optimization algorithm
This paper introduces a method for clustering complex and linearly non-separable datasets, without any prior knowledge of the number of naturally occurring clusters. The proposed ...
Ajith Abraham, Swagatam Das, Amit Konar
CEC
2010
IEEE
13 years 7 months ago
Designing airfoils using a reference point based evolutionary many-objective particle swarm optimization algorithm
— In this paper, we illustrate the use of a reference point based many-objective particle swarm optimization algorithm to optimize low-speed airfoil aerodynamic designs. Our fram...
Upali K. Wickramasinghe, Robert Carrese, Xiaodong ...
ICIC
2005
Springer
14 years 1 months ago
A Sequential Niching Technique for Particle Swarm Optimization
This paper proposed a modified algorithm, sequential niching particle swarm optimization (SNPSO), for the attempt to get multiple maxima of multimodal function. Based on the sequen...
Jun Zhang, Jing-Ru Zhang, Kang Li