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EC
2007
145views ECommerce» more  EC 2007»
13 years 4 months ago
Covariant Genetic Dynamics
We present a covariant form for the dynamics of a canonical GA of arbitrary cardinality, showing how each genetic operator can be uniquely represented by a mathematical object - a...
Chryssomalis Chryssomalakos, Christopher R. Stephe...
GECCO
2004
Springer
112views Optimization» more  GECCO 2004»
13 years 10 months ago
What Basis for Genetic Dynamics?
We present a covariant form for genetic dynamics and show how diļ¬€erent formulations are simply related by linear coordinate transformations. In particular, in the context of the ...
Chryssomalis Chryssomalakos, Christopher R. Stephe...
HIS
2004
13 years 6 months ago
K-Ranked Covariance Based Missing Values Estimation for Microarray Data Classification
Microarray data often contains multiple missing genetic expression values that degrade the performance of statistical and machine learning algorithms. This paper presents a K rank...
Muhammad Shoaib B. Sehgal, Iqbal Gondal, Laurence ...
PPSN
2004
Springer
13 years 10 months ago
LS-CMA-ES: A Second-Order Algorithm for Covariance Matrix Adaptation
Abstract. Evolution Strategies, Evolutionary Algorithms based on Gaussian mutation and deterministic selection, are today considered the best choice as far as parameter optimizatio...
Anne Auger, Marc Schoenauer, Nicolas Vanhaecke
CEC
2005
IEEE
13 years 10 months ago
Dynamic niching in evolution strategies with covariance matrix adaptation
Abstract- Evolutionary Algorithms (EAs) have the tendency to converge quickly into a single solution in the search space. However, many complex search problems require the identiļ¬...
Ofer M. Shir, Thomas Bäck