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GECCO
2007
Springer
176views Optimization» more  GECCO 2007»
14 years 5 months ago
Best SubTree genetic programming
The result of the program encoded into a Genetic Programming (GP) tree is usually returned by the root of that tree. However, this is not a general strategy. In this paper we pres...
Oana Muntean, Laura Diosan, Mihai Oltean
EVOW
2009
Springer
14 years 5 months ago
Prediction of Interday Stock Prices Using Developmental and Linear Genetic Programming
A developmental co-evolutionary genetic programming approach (PAM DGP) is compared to a standard linear genetic programming (LGP) implementation for trading of stocks across market...
Garnett Carl Wilson, Wolfgang Banzhaf
ICIRA
2009
Springer
200views Robotics» more  ICIRA 2009»
14 years 5 months ago
Classifying 3D Human Motions by Mixing Fuzzy Gaussian Inference with Genetic Programming
This paper combines the novel concept of Fuzzy Gaussian Inference(FGI) with Genetic Programming (GP) in order to accurately classify real natural 3d human Motion Capture data. FGI ...
Mehdi Khoury, Honghai Liu
EUROGP
2007
Springer
164views Optimization» more  EUROGP 2007»
14 years 5 months ago
The Induction of Finite Transducers Using Genetic Programming
This paper reports on the results of a preliminary study conducted to evaluate genetic programming (GP) as a means of evolving finite state transducers. A genetic programming syste...
Amashini Naidoo, Nelishia Pillay
GECCO
2007
Springer
160views Optimization» more  GECCO 2007»
14 years 5 months ago
An analysis of constructive crossover and selection pressure in genetic programming
A common problem in genetic programming search algorithms is destructive crossover in which the offspring of good parents generally has worse performance than the parents. Design...
Huayang Xie, Mengjie Zhang, Peter Andreae