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» Using Neural Nets to Estimate Evolutionary Parameters
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GECCO
2009
Springer
113views Optimization» more  GECCO 2009»
13 years 6 months ago
Single step evolution of robot controllers for sequential tasks
The generation of robot controllers for a task requiring a sequence of elementary behaviors is still a challenge. If these behaviors are known, intermediate steps can be given to ...
Stéphane Doncieux, Jean-Baptiste Mouret
CVPR
2003
IEEE
14 years 10 months ago
Hybrid Evolutionary Ridge Regression Approach for High-Accurate Corner Extraction
Corner measurement is of main concern within the following tasks: camera calibration, image matching, object tracking, recognition and reconstruction. This paper presents a hybrid...
Benjamín Hernández, Enrique Dunn, Gu...
CIKM
2008
Springer
13 years 10 months ago
Pairwise statistical significance of local sequence alignment using multiple parameter sets
Background: Accurate estimation of statistical significance of a pairwise alignment is an important problem in sequence comparison. Recently, a comparative study of pairwise stati...
Ankit Agrawal, Xiaoqiu Huang
GECCO
2003
Springer
14 years 1 months ago
Pruning Neural Networks with Distribution Estimation Algorithms
Abstract. This paper describes the application of four evolutionary algorithms to the pruning of neural networks used in classification problems. Besides of a simple genetic algor...
Erick Cantú-Paz
EUSFLAT
2007
150views Fuzzy Logic» more  EUSFLAT 2007»
13 years 10 months ago
Competitive Self-adaptation in Evolutionary Algorithms
Heuristic search for the global minimum is studied. This paper is focused on the adaptation of control parameters in differential evolution (DE) and in controlled random search (...
Josef Tvrdík, Ivan Krivý