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Genetic programming

Known as: GP 
In artificial intelligence, genetic programming (GP) is a technique whereby computer programs are encoded as a set of genes that are then modified… 
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Related topics

Related topics

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AForge.NETAutomatic bug fixingBio-inspired computingCore War

Broader (2)

Mathematical optimizationOperations research

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2011
Highly Cited
2011
Modeling of a Liquid Epoxy Molding Process Using a Particle Swarm Optimization-Based Fuzzy Regression Approach
Modeling of manufacturing processes is important because it enables manufacturers to understand the process behavior and… 
2010
2010
Structural analysis of regulatory DNA sequences using grammar inference and Support Vector Machine
2005
2005
Simulation and complexity - how they can relate
When faced with some complex phenomena for which we can see no adequate analytic approach, it is easy to produce a simulation… 
2004
2004
Image Colour Segmentation by Genetic Algorithms
Segmentation of a colour image composed of different kinds of texture regions can be a hard problem, namely to compute for an… 
Highly Cited
1999
Highly Cited
1999
Investigation of image feature extraction by a genetic algorithm
We describe the implementation and performance of a genetic algorithm which generates image feature extraction algorithms for… 
1998
1998
Evolutionary Learning of Communicating Agents
Highly Cited
1995
Highly Cited
1995
Evolutionary Programming IV: Proceedings of the Fourth Annual Conference on Evolutionary Programming
Highly Cited
1990
Highly Cited
1990
Genetic parameters for carcass traits in Hereford bulls.
Highly Cited
1974
Highly Cited
1974
Deoxyribonucleic Acid Hybridization Among Selected Leptospiral Serotypes
The deoxyribonucleic acids (DNA) from phenotypically unusual Leptospira strains were compared to each other and to reference… 
1965
1965
Genetic systems in Allium
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