1871 search results - page 40 / 375 » Selecting for evolvable representations |
GECCO
2009
Springer
13 years 6 months ago
2009
Springer
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...
GECCO
1999
Springer
14 years 1 months ago
1999
Springer
Genetic programming makes it possible to automatically search the space of possible programs. First we evolved a behavior-based control architecture using computer simulations. Th...
GECCO
2009
Springer
14 years 1 months ago
2009
Springer
HyperNEAT, a generative encoding for evolving artificial neural networks (ANNs), has the unique and powerful ability to exploit the geometry of a problem (e.g., symmetries) by enc...
GECCO
2008
Springer
13 years 10 months ago
2008
Springer
Investors vary with respect to their expected return and aversion to associated risk, and hence also vary in their performance expectations of the stock market portfolios they hol...
CORR
2006
Springer
13 years 8 months ago
2006
Springer
In this paper we present a deeper analysis than has previously been carried out of a selective attention problem, and the evolution of continuous-time recurrent neural networks to...