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FLAIRS
2006
13 years 10 months ago
Genetic Programming: Analysis of Optimal Mutation Rates in a Problem with Varying Difficulty
In this paper we test whether a correlation exists between the optimal mutation rate and problem difficulty. We find that the range of optimal mutation rates is inversely proporti...
Alan Piszcz, Terence Soule
GECCO
2009
Springer
148views Optimization» more  GECCO 2009»
13 years 6 months ago
Genetic programming for quantitative stock selection
We provide an overview of using genetic programming (GP) to model stock returns. Our models employ GP terminals (model decision variables) that are financial factors identified by...
Ying L. Becker, Una-May O'Reilly
CEC
2008
IEEE
14 years 3 months ago
Policy evolution with Genetic Programming: A comparison of three approaches
— 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 now much more complex. Subt...
Yow Tzu Lim, Pau-Chen Cheng, John Andrew Clark, Pa...
TSMC
2008
100views more  TSMC 2008»
13 years 8 months ago
Instruction-Matrix-Based Genetic Programming
In genetic programming (GP), evolving tree nodes separately would reduce the huge solution space. However, tree nodes are highly interdependent with respect to their fitness. In th...
Gang Li, Jin Feng Wang, Kin-Hong Lee, Kwong-Sak Le...
INFORMATICALT
2000
108views more  INFORMATICALT 2000»
13 years 8 months ago
Theoretical Foundations of an Environment-Based Multiparadigm Language
The paper presents a simple programming language and rewriting system called GENS. It is based on an extension of the -calculus called E-calculus. GENS is a multiparadigm language:...
Mario Blazevic, Zoran Budimac, Mirjana Ivanovic