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GECCO
2007
Springer
163views Optimization» more  GECCO 2007»
16 years 4 days 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
15 years 10 months 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»
15 years 11 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»
16 years 4 days 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»
16 years 14 days 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