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GECCO
2009
Springer
258views Optimization» more  GECCO 2009»
14 years 1 months ago
Evolutionary learning of local descriptor operators for object recognition
Nowadays, object recognition is widely studied under the paradigm of matching local features. This work describes a genetic programming methodology that synthesizes mathematical e...
Cynthia B. Pérez, Gustavo Olague
ISMVL
2010
IEEE
158views Hardware» more  ISMVL 2010»
14 years 19 days ago
An Evolutionary Algorithm for Optimization of Pseudo Kronecker Expressions
—Using EXOR gates in logic synthesis often results in smaller circuit realizations. While in AND/OR synthesis the problem definition is clear, in AND/EXOR synthesis several clas...
Alexander Finder, Rolf Drechsler
GECCO
2008
Springer
238views Optimization» more  GECCO 2008»
13 years 9 months ago
Using multiple offspring sampling to guide genetic algorithms to solve permutation problems
The correct choice of an evolutionary algorithm, a genetic representation for the problem being solved (as well as their associated variation operators) and the appropriate values...
Antonio LaTorre, José Manuel Peña, V...
GECCO
2003
Springer
14 years 1 months ago
Use of Multiobjective Optimization Concepts to Handle Constraints in Single-Objective Optimization
Abstract. In this paper, we propose a new constraint-handling technique for evolutionary algorithms which is based on multiobjective optimization concepts. The approach uses Pareto...
Arturo Hernández Aguirre, Salvador Botello ...
EVOW
2010
Springer
13 years 7 months ago
Finding Gapped Motifs by a Novel Evolutionary Algorithm
Background: Identifying approximately repeated patterns, or motifs, in DNA sequences from a set of co-regulated genes is an important step towards deciphering the complex gene reg...
Chengwei Lei, Jianhua Ruan