231 search results - page 18 / 47 » Controlling Particle Swarm Optimization with Learned Paramet... |
GECCO
2007
Springer
15 years 5 months ago
2007
Springer
We apply a novel theoretical approach to better understand the behaviour of different types of bare-bones PSOs. It avoids many common but unrealistic assumptions often used in an...
107
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TEC
2010
14 years 6 months ago
2010
We propose a unified data modeling approach that is equally applicable to supervised regression and classification applications, as well as to unsupervised probability density func...
116
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GECCO
2007
Springer
15 years 5 months ago
2007
Springer
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 ...
GECCO
2007
Springer
15 years 5 months ago
2007
Springer
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...
IJCNN
2006
IEEE
15 years 5 months ago
2006
IEEE
— Neural networks are used in a wide number of fields including signal and image processing, modeling and control and pattern recognition. Some of the most common type of neural ...