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EVOW
2009
Springer
13 years 2 months ago
Conquering the Needle-in-a-Haystack: How Correlated Input Variables Beneficially Alter the Fitness Landscape for Neural Networks
Abstract. Evolutionary algorithms such as genetic programming and grammatical evolution have been used for simultaneously optimizing network architecture, variable selection, and w...
Stephen D. Turner, Marylyn D. Ritchie, William S. ...
ICIAP
2007
ACM
14 years 4 months ago
Quality Assessment of Gaussian Blurred Images Using Symmetric Geometric Moments
A novel objective full-reference image quality assessment metric based on symmetric geometric moments (SGM) is proposed. SGM is used to represent the structural information in the...
Chong-Yaw Wee, Paramesran Raveendran, R. Mukundan
EVOW
2010
Springer
13 years 11 months ago
Fitness Distance Correlation and Search Space Analysis for Permutation Based Problems
Abstract. The fitness distance correlation (FDC) as a measure for problem difficulty was first introduced by Forrest and Jones. It was applied to many binary coded problems. This...
Botond Draskoczy
BICOB
2009
Springer
13 years 11 months ago
A Fitness Distance Correlation Measure for Evolutionary Trees
Phylogenetics is concerned with inferring the genealogical relationships between a group of organisms (or taxa), and this relationship is usually expressed as an evolutionary tree....
Hyun Jung Park, Tiffani L. Williams
SAC
2006
ACM
13 years 10 months ago
Adaptive mutation with fitness and allele distribution correlation for genetic algorithms
In this paper, a new gene based adaptive mutation scheme is proposed for genetic algorithms (GAs), where the information on gene based fitness statistics and on gene based allele...
Shengxiang Yang, Sima Uyar