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CEC
2008
IEEE
14 years 2 months ago
Increasing rule extraction accuracy by post-processing GP trees
—Genetic programming (GP), is a very general and efficient technique, often capable of outperforming more specialized techniques on a variety of tasks. In this paper, we suggest ...
Ulf Johansson, Rikard König, Tuve Löfstr...
GECCO
2008
Springer
119views Optimization» more  GECCO 2008»
13 years 8 months ago
GP age-layer and crossover effects in bid-offer spread prediction
The bid-offer spread on equity options is a key source of profits for market makers, and a key cost for those trading in the options. Spreads are influenced by dynamic market f...
Amy Willis, Suneer Patel, Christopher D. Clack
GECCO
2008
Springer
123views Optimization» more  GECCO 2008»
13 years 8 months ago
MLS security policy evolution with genetic programming
In the early days a policy was a set of simple rules with a clear intuitive motivation that could be formalised to good effect. However the world is becoming much more complex. S...
Yow Tzu Lim, Pau-Chen Cheng, Pankaj Rohatgi, John ...
ICANNGA
2007
Springer
153views Algorithms» more  ICANNGA 2007»
14 years 1 months ago
Automatic Design of ANNs by Means of GP for Data Mining Tasks: Iris Flower Classification Problem
This paper describes a new technique for automatically developing Artificial Neural Networks (ANNs) by means of an Evolutionary Computation (EC) tool, called Genetic Programming (G...
Daniel Rivero, Juan R. Rabuñal, Julian Dora...
GECCO
2008
Springer
104views Optimization» more  GECCO 2008»
13 years 8 months ago
Protein-protein functional association prediction using genetic programming
Determining if a group of proteins are functionally associated among themselves is an open problem in molecular biology. Within our long term goal of applying Genetic Programming ...
Beatriz García, Ricardo Aler, Agapito Ledez...