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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
GECCO
2004
Springer
151views Optimization» more  GECCO 2004»
13 years 10 months ago
Discovery of Human-Competitive Image Texture Feature Extraction Programs Using Genetic Programming
In this paper we show how genetic programming can be used to discover useful texture feature extraction algorithms. Grey level histograms of different textures are used as inputs ...
Brian T. Lam, Victor Ciesielski
GECCO
2005
Springer
133views Optimization» more  GECCO 2005»
13 years 10 months ago
Parsing and translation of expressions by genetic programming
We have investigated the potential for using genetic programming to evolve compiler parsing and translation routines for processing arithmetic and logical expressions as they are ...
David Jackson
CEC
2010
IEEE
13 years 6 months ago
Evolving cascades of voting feature detectors for vehicle detection in satellite imagery
We propose an evolutionary method for detection of vehicles in satellite imagery which involves a large number of simple elementary features and multiple detectors trained by genet...
Krzysztof Krawiec, Bartosz Kukawka, Tomasz Macieje...
GPEM
2007
116views more  GPEM 2007»
13 years 4 months ago
Using evolvable genetic cellular automata to model breast cancer
Cancer is an evolutionary process; mutated cells are selected for abnormal growth and survivability. Here, a computer simulation is used to model ductal carcinoma in situ (DCIS), ...
Armand Bankhead, Robert B. Heckendorn