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EUROGP
2000
Springer

Using Factorial Experiments to Evaluate the Effect of Genetic Programming Parameters

9 years 5 months ago
Using Factorial Experiments to Evaluate the Effect of Genetic Programming Parameters
Abstract. Statistical techniques for designing and analysing experiments are used to evaluate the individual and combined effects of genetic programming parameters. Three binary classification problems are investigated in a total of seven experiments consisting of 1108 runs of a machine code genetic programming system. The parameters having the largest effect in these experiments are the population size and the number of generations. A large number of parameters have negligible effects. The experiments indicate that the investigated genetic programming system is robust to parameter variations, with the exception of a few important parameters.
Robert Feldt, Peter Nordin
Added 24 Aug 2010
Updated 24 Aug 2010
Type Conference
Year 2000
Where EUROGP
Authors Robert Feldt, Peter Nordin
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