ICTAI
2009
IEEE
13 years 11 months ago
2009
IEEE
Evolutionary computation methods have been used to solve several optimization and learning problems. This paper describes an application of evolutionary computation methods to con...
CEC
2009
IEEE
13 years 11 months ago
2009
IEEE
— An evolutionary algorithm automatically discovers suitable solutions to a problem, which may lie anywhere in a large search space of candidate solutions. In the case of Genetic...
CEC
2009
IEEE
13 years 11 months ago
2009
IEEE
—Using semantic analysis, we present a technique known as semantically driven mutation which can explicitly detect and apply behavioural changes caused by the syntactic changes i...
CEC
2009
IEEE
13 years 11 months ago
2009
IEEE
— In this paper, we use Genetic Programming (GP) to define a set of transforms on the space of greyscale images. The motivation is to allow an evolutionary algorithm means of tr...
EVOW
2009
Springer
13 years 11 months ago
2009
Springer
A developmental co-evolutionary genetic programming approach (PAM DGP) is compared to a standard linear genetic programming (LGP) implementation for trading of stocks across market...
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Vitaliy KlebanEngineer
Saint-Petersburg State University of Information Technologies, Mechanics and Optics
Homepage Book
"GP is a systematic, domain-independent method for getting computers to solve problems automatically starting from a high-level statement of what needs to be done. Using ideas...