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GECCO
2007
Springer
532views Optimization» more  GECCO 2007»
13 years 11 months ago
Evolving evolutionary algorithms using evolutionary algorithms
A new model for automatic generation of Evolutionary Algorithms (EAs) by evolutionary means is proposed in this paper. The model is based on a simple Genetic Algorithm (GA). Every...
Laura Diosan, Mihai Oltean
ICDM
2006
IEEE
105views Data Mining» more  ICDM 2006»
13 years 11 months ago
Learning to Use a Learned Model: A Two-Stage Approach to Classification
Maria-Luiza Antonie, Osmar R. Zaïane, Robert ...
ICMLC
2005
Springer
13 years 10 months ago
Evolutionary Synthesis of Micromachines Using Supervisory Multiobjective Interactive Evolutionary Computation
A novel method of Interactive Evolutionary Computation (IEC) for the design of microelectromechanical systems (MEMS) is presented. As the main limitation of IEC is human fatigue, a...
Raffi R. Kamalian, Ying Zhang, Hideyuki Takagi, Al...
FBIT
2007
IEEE
13 years 11 months ago
Unsupervised Learning in Spectral Genome Analysis
The tree representation as a model for organismal evolution has been in use since before Darwin. However, with the recent unprecedented access to biomolecular data it has been dis...
Lutz Hamel, Neha Nahar, Maria S. Poptsova, Olga Zh...
GECCO
2007
Springer
179views Optimization» more  GECCO 2007»
13 years 11 months ago
Evolutionary selection of minimum number of features for classification of gene expression data using genetic algorithms
Selecting the most relevant factors from genetic profiles that can optimally characterize cellular states is of crucial importance in identifying complex disease genes and biomark...
Alper Küçükural, Reyyan Yeniterzi...