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GECCO
2005
Springer
140views Optimization» more  GECCO 2005»
15 years 3 months ago
CGP visits the Santa Fe trail: effects of heuristics on GP
GP uses trees to represent chromosomes. The user defines the representation space by defining the set of functions and terminals to label the nodes in the trees, and GP searches t...
Cezary Z. Janikow, Christopher J. Mann
GECCO
2007
Springer
177views Optimization» more  GECCO 2007»
15 years 3 months ago
Evolving problem heuristics with on-line ACGP
Genetic Programming uses trees to represent chromosomes. The user defines the representation space by defining the set of functions and terminals to label the nodes in the trees. ...
Cezary Z. Janikow
CEC
2009
IEEE
15 years 1 months ago
Using genetic programming to obtain implicit diversity
—When performing predictive data mining, the use of ensembles is known to increase prediction accuracy, compared to single models. To obtain this higher accuracy, ensembles shoul...
Ulf Johansson, Cecilia Sönströd, Tuve L&...
CEC
2005
IEEE
15 years 3 months ago
Evolutionary Solo Pong players
An Internet Java Applet http://www.cs.essex.ac.uk/staff/poli/ SoloPong/ allows users anywhere to play the Solo Pong game. We compare people’s performance to a hand coded “Optim...
William B. Langdon, Riccardo Poli
RISE
2005
Springer
15 years 3 months ago
Software Testing with Evolutionary Strategies
Abstract. This paper applies the Evolutionary Strategy (ES) metaheuristic to the automatic test data generation problem. The problem consists in creating automatically a set of inp...
Enrique Alba, J. Francisco Chicano