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GECCO
2007
Springer
138views Optimization» more  GECCO 2007»
14 years 4 months ago
Unwitting distributed genetic programming via asynchronous JavaScript and XML
The success of a genetic programming system in solving a problem is often a function of the available computational resources. For many problems, the larger the population size an...
Jon Klein, Lee Spector
GECCO
2009
Springer
174views Optimization» more  GECCO 2009»
13 years 8 months ago
Shape grammars and grammatical evolution for evolutionary design
We describe the first steps in the adoption of Shape Grammars with Grammatical Evolution for application in Evolutionary Design. Combining the concepts of Shape Grammars and Genet...
Michael O'Neill, John Mark Swafford, James McDermo...
TEC
2002
94views more  TEC 2002»
13 years 10 months ago
Knowledge-intensive genetic discovery in foreign exchange markets
Abstract--This paper considers the discovery of trading decision models from high-frequency foreign exchange (FX) markets data using genetic programming (GP). It presents a domain-...
Siddhartha Bhattacharyya, Olivier V. Pictet, Gille...
GECCO
2006
Springer
130views Optimization» more  GECCO 2006»
14 years 2 months ago
Investigation on artificial ant using analytic programming
The paper deals with a alternative tool for symbolic regression
Zuzana Oplatková, Ivan Zelinka
EUROGP
2003
Springer
259views Optimization» more  EUROGP 2003»
14 years 3 months ago
Research of a Cellular Automaton Simulating Logic Gates by Evolutionary Algorithms
This paper presents a method of using genetic programming to seek new cellular automata that perform computational tasks. Two genetic algorithms are used : the first one discovers ...
Emmanuel Sapin, Olivier Bailleux, Jean-Jacques Cha...