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GECCO
2008
Springer
137views Optimization» more  GECCO 2008»
15 years 3 months ago
Rank based variation operators for genetic algorithms
We show how and why using genetic operators that are applied with probabilities that depend on the fitness rank of a genotype or phenotype offers a robust alternative to the Sim...
Jorge Cervantes, Christopher R. Stephens
145
Voted
EUSFLAT
2009
156views Fuzzy Logic» more  EUSFLAT 2009»
15 years 11 days ago
Interactive Fuzzy Modeling by Evolutionary Multiobjective Optimization with User Preference
One of the new trends in genetic fuzzy systems (GFS) is the use of evolutionary multiobjective optimization (EMO) algorithms. This is because EMO algorithms can easily handle two c...
Yusuke Nojima, Hisao Ishibuchi
141
Voted
CEC
2010
IEEE
15 years 3 months ago
An analysis of massively distributed evolutionary algorithms
Computational science is placing new demands on optimization algorithms as the size of data sets and the computational complexity of scientific models continue to increase. As thes...
Travis J. Desell, David P. Anderson, Malik Magdon-...
122
Voted
EVOW
2006
Springer
15 years 6 months ago
Evolutionary Singularity Filter Bank Optimization for Fingerprint Image Enhancement
Singularity is the special feature of fingerprints for identification and classification. Since the performance of singularity extraction depends on the quality of fingerprint imag...
Ung-Keun Cho, Jin-Hyuk Hong, Sung-Bae Cho
GECCO
2005
Springer
141views Optimization» more  GECCO 2005»
15 years 8 months ago
Local and global order 3/2 convergence of a surrogate evolutionary algorithm
A Quasi-Monte-Carlo method based on the computation of a surrogate model of the fitness function is proposed, and its convergence at super-linear rate 3/2 is proved under rather ...
Anne Auger, Marc Schoenauer, Olivier Teytaud