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» Unsupervised Problem Decomposition Using Genetic Programming
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TEC
2002
81views more  TEC 2002»
14 years 9 months ago
Genetic object recognition using combinations of views
We investigate the application of genetic algorithms (GAs) for recognizing real two-dimensional (2-D) or three-dimensional (3-D) objects from 2-D intensity images, assuming that th...
George Bebis, Evangelos A. Yfantis, Sushil J. Loui...
GECCO
2004
Springer
118views Optimization» more  GECCO 2004»
15 years 3 months ago
Adapting Representation in Genetic Programming
Genetic Programming uses trees to represent chromosomes. The user defines the representation space by defining the set of functions and terminals to label the nodes in the trees....
Cezary Z. Janikow
INFORMS
2000
54views more  INFORMS 2000»
14 years 9 months ago
Time-Indexed Formulations for Machine Scheduling Problems: Column Generation
Time-indexed formulations for machine scheduling problems have received a great deal of attention; not only do the linear programming relaxations provide strong lower bounds, but ...
Marjan van den Akker, Cor A. J. Hurkens, Martin W....
EPS
1997
Springer
15 years 1 months ago
Performance-Enhanced Genetic Programming
Genetic Programming is increasing in popularity as the basis for a wide range of learning algorithms. However, the technique has to date only been successfully applied to modest t...
Chris Clack, Tina Yu
SMC
2007
IEEE
118views Control Systems» more  SMC 2007»
15 years 3 months ago
One-class learning with multi-objective genetic programming
One-class classification naturally only provides one class of exemplars on which to construct the classification model. In this work, multiobjective genetic programming (GP) all...
Robert Curry, Malcolm I. Heywood