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APIN
2002
70views more  APIN 2002»
15 years 2 months ago
Compact Unstructured Representations for Evolutionary Design
This paper proposes a few steps to escape structured extensive representations for objects, in the context of evolutionary Topological Optimum Design (TOD) problems: early results ...
Hatem Hamda, François Jouve, Evelyne Lutton...
189
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HIS
2001
15 years 4 months ago
Global Optimisation of Neural Networks Using a Deterministic Hybrid Approach
Selection of the topology of a neural network and correct parameters for the learning algorithm is a tedious task for designing an optimal artificial neural...
Gleb Beliakov, Ajith Abraham
125
Voted
CMSB
2006
Springer
15 years 6 months ago
Possibilistic Approach to Biclustering: An Application to Oligonucleotide Microarray Data Analysis
Abstract. The important research objective of identifying genes with similar behavior with respect to different conditions has recently been tackled with biclustering techniques. I...
Maurizio Filippone, Francesco Masulli, Stefano Rov...
144
Voted
GECCO
2007
Springer
192views Optimization» more  GECCO 2007»
15 years 4 months ago
Parsimonious regularization using genetic algorithms applied to the analysis of analytical ultracentrifugation experiments
Frequently in the physical sciences experimental data are analyzed to determine model parameters using techniques known as parameter estimation. Eliminating the effects of noise ...
Emre H. Brookes, Borries Demeler
146
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CGF
2011
14 years 6 months ago
Estimating Color and Texture Parameters for Vector Graphics
Diffusion curves are a powerful vector graphic representation that stores an image as a set of 2D Bezier curves with colors defined on either side. These colors are diffused over...
Stefan Jeschke, David Cline, Peter Wonka