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GECCO
2004
Springer
14 years 25 days ago
Memetic Crossover for Genetic Programming: Evolution Through Imitation
For problems where the evaluation of an individual is the dominant factor in the total computation time of the evolutionary process, minimizing the number of evaluations becomes cr...
Brent E. Eskridge, Dean F. Hougen
EUROGP
2001
Springer
110views Optimization» more  EUROGP 2001»
13 years 12 months ago
General Schema Theory for Genetic Programming with Subtree-Swapping Crossover
Abstract. In this paper a new, general and exact schema theory for genetic programming is presented. The theory includes a microscopic schema theorem applicable to crossover operat...
Riccardo Poli
EUROGP
2006
Springer
136views Optimization» more  EUROGP 2006»
13 years 11 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
2005
Springer
154views Optimization» more  GECCO 2005»
14 years 29 days ago
Combining competent crossover and mutation operators: a probabilistic model building approach
This paper presents an approach to combine competent crossover and mutation operators via probabilistic model building. Both operators are based on the probabilistic model buildin...
Cláudio F. Lima, Kumara Sastry, David E. Go...
GECCO
2007
Springer
175views Optimization» more  GECCO 2007»
14 years 1 months ago
On the constructiveness of context-aware crossover
Crossover in Genetic Programming is mostly a destructive operator, generally producing children worse than the parents and occasionally producing those who are better. A recently ...
Hammad Majeed, Conor Ryan