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» Representation Invariant Genetic Operators
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EC
2010
127views ECommerce» more  EC 2010»
13 years 2 months ago
Representation Invariant Genetic Operators
A genetic algorithm is invariant with respect to a set of representations if it runs the same no matter which of the representations is used. We formalize this concept mathematica...
Jonathan E. Rowe, Michael D. Vose, Alden H. Wright
GECCO
2009
Springer
258views Optimization» more  GECCO 2009»
13 years 9 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
ICPR
2008
IEEE
14 years 6 months ago
Learning invariant region descriptor operators with genetic programming and the F-measure
Recognizing and localizing objects is a classical problem in computer vision that is an important stage for many automated systems. In order to perform object recognition many res...
Cynthia B. Pérez, Gustavo Olague
GECCO
2003
Springer
116views Optimization» more  GECCO 2003»
13 years 10 months ago
A Hybrid Genetic Algorithm Based on Complete Graph Representation for the Sequential Ordering Problem
Abstract. A hybrid genetic algorithm is proposed for the sequential ordering problem. It is known that the performance of a genetic algorithm depends on the survival environment an...
Dong-il Seo, Byung Ro Moon
FOGA
1994
13 years 6 months ago
Predictive Models Using Fitness Distributions of Genetic Operators
An important goal of the theory of genetic algorithms is to build predictive models of how well genetic algorithms are expected to perform, given a representation, a fitness lands...
John J. Grefenstette