691 search results - page 46 / 139 » Genetic Programming Applied to Mixed Integer Programming |
106
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GECCO
2007
Springer
15 years 8 months ago
2007
Springer
We consider multitask learning of visual concepts within genetic programming (GP) framework. The proposed method evolves a population of GP individuals, with each of them composed...
133
Voted
EUROGP
2004
Springer
15 years 8 months ago
2004
Springer
Lymphoma cancer classification with DNA microarray data is one of important problems in bioinformatics. Many machine learning techniques have been applied to the problem and produc...
125
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GECCO
2010
Springer
15 years 7 months ago
2010
Springer
This paper presents a novel approach for knowledge mining from a sparse and repeated measures dataset. Genetic programming based symbolic regression is employed to generate multip...
144
Voted
APIN
1998
15 years 2 months ago
1998
Evolutionary design of neural networks has shown a great potential as a powerful optimization tool. However, most evolutionary neural networks have not taken advantage of the fact ...
126
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CEC
2010
IEEE
15 years 20 days ago
2010
IEEE
The great majority of genetic programming (GP) algorithms that deal with the classification problem follow a supervised approach, i.e., they consider that all fitness cases availab...