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» Evolutionary algorithms and matroid optimization problems
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CEC
2008
IEEE
14 years 2 months ago
Auto-tuning fuzzy granulation for evolutionary optimization
—Much of the computational complexity in employing evolutionary algorithms as optimization tool is due to the fitness function evaluation that may either not exist or be computat...
Mohsen Davarynejad, Mohammad R. Akbarzadeh-Totonch...
GECCO
2007
Springer
179views Optimization» more  GECCO 2007»
14 years 2 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...
GECCO
2006
Springer
181views Optimization» more  GECCO 2006»
13 years 11 months ago
Designing safe, profitable automated stock trading agents using evolutionary algorithms
Trading rules are widely used by practitioners as an effective means to mechanize aspects of their reasoning about stock price trends. However, due to the simplicity of these rule...
Harish Subramanian, Subramanian Ramamoorthy, Peter...
GECCO
2003
Springer
14 years 1 months ago
DNA-Like Genomes for Evolution in silico
We explore the advantages of DNA-like genomes for evolutionary computation in silico. Coupled with simulations of chemical reactions, these genomes offer greater efficiency, reliab...
Michael West, Max H. Garzon, Derrel Blain
EVOW
2007
Springer
14 years 2 months ago
Reducing the Size of Traveling Salesman Problem Instances by Fixing Edges
Abstract. The Traveling Salesman Problem (TSP) is a well-known NPhard combinatorial optimization problem, for which a large variety of evolutionary algorithms are known. However, t...
Thomas Fischer, Peter Merz