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» Fine-Grained Timing Using Genetic Programming
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ESANN
2006
13 years 6 months ago
Using distributed genetic programming to evolve classifiers for a brain computer interface
The objective of this paper is to illustrate the application of genetic programming to evolve classifiers for multi-channel time series data. The paper shows how high performance d...
Eva Alfaro-Cid, Anna Esparcia-Alcázar, Ken ...
EH
2004
IEEE
107views Hardware» more  EH 2004»
13 years 8 months ago
Evolving Digital Circuits using Multi Expression Programming
Multi Expression Programming (MEP) is a Genetic Programming (GP) variant that uses linear chromosomes for solution encoding. A unique MEP feature is its ability of encoding multipl...
Mihai Oltean, Crina Grosan
EH
2004
IEEE
125views Hardware» more  EH 2004»
13 years 8 months ago
Routine High-Return Human-Competitive Evolvable Hardware
This paper reviews the use of genetic programming as an automated invention machine for the synthesis of both the topology and sizing of analog electrical circuits. The paper focu...
John R. Koza, Martin A. Keane, Matthew J. Streeter
ICIC
2009
Springer
13 years 11 months ago
Function Sequence Genetic Programming
Genetic Programming(GP) can obtain a program structure to solve complex problem. This paper presents a new form of Genetic Programming, Function Sequence Genetic Programming (FSGP)...
Shixian Wang, Yuehui Chen, Peng Wu
GECCO
2009
Springer
128views Optimization» more  GECCO 2009»
13 years 9 months ago
Evolving stochastic processes using feature tests and genetic programming
The synthesis of stochastic processes using genetic programming is investigated. Stochastic process behaviours take the form of time series data, in which quantities of interest v...
Brian J. Ross, Janine H. Imada