74 search results - page 2 / 15 » Genetic Programming in Statistical Arbitrage |
CEC
2007
IEEE
13 years 11 months ago
2007
IEEE
— This paper looks at the statistics used to compare variations to the genetic programming method. Previous work in this area has been dominated by the use of mean best-of-run ...
EUROGP
2009
Springer
13 years 11 months ago
2009
Springer
Code bloat, the excessive increase of code size, is an important issue in Genetic Programming (GP). This paper proposes a theoretical analysis of code bloat in GP from the perspec...
GECCO
2010
Springer
13 years 9 months ago
2010
Springer
Abstract. We discuss the problem of model selection in Genetic Programming using the framework provided by Statistical Learning Theory, i.e. Vapnik-Chervonenkis theory (VC). We pre...
GECCO
2009
Springer
13 years 9 months ago
2009
Springer
In this paper, we present a detailed analysis of the application of Genetic Programming to the evolution of distributed algorithms. This research field has many facets which make...
GECCO
2008
Springer
13 years 6 months ago
2008
Springer
Single and multi-step time-series predictors were evolved for forecasting minimum bidding prices in a simulated supply chain management scenario. Evolved programs were allowed to ...