54 search results - page 1 / 11 » Liquid State Genetic Programming |
ICANNGA
2007
Springer
13 years 11 months ago
2007
Springer
Abstract. A new Genetic Programming variant called Liquid State Genetic Programming (LSGP) is proposed in this paper. LSGP is a hybrid method combining a dynamic memory for storing...
ANOR
2007
13 years 5 months ago
2007
We consider the problem of optimal position liquidation with the aim of maximizing the expected cash flow stream from the transaction in the presence of temporary or permanent ma...
GECCO
2006
Springer
13 years 8 months ago
2006
Springer
In contrast with the diverse array of genetic algorithms, the Genetic Programming (GP) paradigm is usually applied in a relatively uniform manner. Heuristics have developed over t...
CEC
2010
IEEE
13 years 5 months ago
2010
IEEE
— Genetic programming is the usage of the paradigm of survival of the fittest in scientific computing. It is applied to evolve solutions to problems where dependencies between ...
GECCO
2005
Springer
13 years 10 months ago
2005
Springer
Turing complete Genetic Programming (GP) models introduce the concept of internal state, and therefore have the capacity for identifying interesting temporal properties. Surprisin...