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ICGA
1993
157views Optimization» more  ICGA 1993»
13 years 8 months ago
Optimal Interaction of Mutation and Crossover in the Breeder Genetic Algorithm
The dynamic behavior of mutation and crossover is investigated with the Breeder Genetic Algorithm. The main emphasis is on binary functions. The genetic operators are compared nea...
Heinz Mühlenbein, Dirk Schlierkamp-Voosen
GECCO
2008
Springer
126views Optimization» more  GECCO 2008»
13 years 8 months ago
The impact of population size on code growth in GP: analysis and empirical validation
The crossover bias theory for bloat [18] is a recent result which predicts that bloat is caused by the sampling of short, unfit programs. This theory is clear and simple, but it ...
Riccardo Poli, Nicholas Freitag McPhee, Leonardo V...
EUROGP
2000
Springer
107views Optimization» more  EUROGP 2000»
13 years 10 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 cl...
Robert Feldt, Peter Nordin
EUROGP
2006
Springer
136views Optimization» more  EUROGP 2006»
13 years 10 months ago
Using Subtree Crossover Distance to Investigate Genetic Programming Dynamics
Abstract. To analyse various properties of the search process of genetic programming it is useful to quantify the distance between two individuals. Using operator-based distance me...
Leonardo Vanneschi, Steven Gustafson, Giancarlo Ma...
GECCO
2006
Springer
148views Optimization» more  GECCO 2006»
13 years 10 months ago
Behavioural GP diversity for dynamic environments: an application in hedge fund investment
We present a new mechanism for preserving phenotypic behavioural diversity in a Genetic Programming application for hedge fund portfolio optimization, and provide experimental res...
Wei Yan, Christopher D. Clack