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GECCO
2007
Springer
163views Optimization» more  GECCO 2007»
14 years 2 months ago
Exploring medical data using visual spaces with genetic programming and implicit functional mappings
Two medical data sets (Breast cancer and Colon cancer) are investigated within a visual data mining paradigm through the unsupervised construction of virtual reality spaces using ...
Julio J. Valdés, Robert Orchard, Alan J. Ba...
EUROGP
1999
Springer
14 years 3 days ago
Genetic Programming as a Darwinian Invention Machine
Genetic programming is known to be capable of creating designs that satisfy prespecified high-level design requirements for analog electrical circuits and other complex structures...
John R. Koza, Forrest H. Bennett III, Oscar Stiffe...
GECCO
2003
Springer
113views Optimization» more  GECCO 2003»
14 years 1 months ago
Predicate Expression Cost Functions to Guide Evolutionary Search for Test Data
Several researchers are using evolutionary search methods to search for test data with which to test a program. The fitness or cost function depends on the test goal but almost in...
Leonardo Bottaci
GECCO
2007
Springer
164views Optimization» more  GECCO 2007»
14 years 2 months ago
Learning building block structure from crossover failure
In the classical binary genetic algorithm, although crossover within a building block (BB) does not always cause a decrease in fitness, any decrease in fitness results from the ...
Zhenhua Li, Erik D. Goodman
EUROGP
2010
Springer
330views Optimization» more  EUROGP 2010»
14 years 2 months ago
Bandit-Based Genetic Programming
We consider the validation of randomly generated patterns in a Monte-Carlo Tree Search program. Our bandit-based genetic programming (BGP) algorithm, with proved mathematical prope...
Jean-Baptiste Hoock, Olivier Teytaud