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CEC
2005
IEEE
14 years 2 months ago
CasGP: building cascaded hierarchical models using niching
— A Cascaded model is introduced for mining large datasets using Genetic Programming without recourse to specialist hardware. Such an algorithm satisfies the seeming conflictin...
Peter Lichodzijewski, Malcolm I. Heywood, A. Nur Z...
GECCO
2005
Springer
154views Optimization» more  GECCO 2005»
14 years 2 months ago
Combining competent crossover and mutation operators: a probabilistic model building approach
This paper presents an approach to combine competent crossover and mutation operators via probabilistic model building. Both operators are based on the probabilistic model buildin...
Cláudio F. Lima, Kumara Sastry, David E. Go...
GECCO
2011
Springer
276views Optimization» more  GECCO 2011»
13 years 9 days ago
Evolution of reward functions for reinforcement learning
The reward functions that drive reinforcement learning systems are generally derived directly from the descriptions of the problems that the systems are being used to solve. In so...
Scott Niekum, Lee Spector, Andrew G. Barto
GECCO
2005
Springer
14 years 2 months ago
Evaluating GP schema in context
We propose a new methodology to look at the fitness contributions (semantics) of different schemata in Genetic Programming (GP). We hypothesize that the significance of a schem...
Hammad Majeed, Conor Ryan, R. Muhammad Atif Azad
GECCO
2007
Springer
210views Optimization» more  GECCO 2007»
14 years 3 months ago
An application of EDA and GA to dynamic pricing
E-commerce has transformed the way firms develop their pricing strategies, producing shift away from fixed pricing to dynamic pricing. In this paper, we use two different Estim...
Siddhartha Shakya, Fernando Oliveira, Gilbert Owus...