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» Elitism reduces bloat in genetic programming
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GECCO
2008
Springer
278views Optimization» more  GECCO 2008»
13 years 6 months ago
Elitism reduces bloat in genetic programming
Elitism is commonly used in generational GP to ensure that the best individuals discovered in a generation are not lost, and are made available for possible further improvements t...
Riccardo Poli, Nicholas Freitag McPhee, Leonardo V...
EC
2006
120views ECommerce» more  EC 2006»
13 years 5 months ago
A Comparison of Bloat Control Methods for Genetic Programming
Genetic programming has highlighted the problem of bloat, the uncontrolled growth of the average size of an individual in the population. The most common approach to dealing with ...
Sean Luke, Liviu Panait
GPEM
2000
103views more  GPEM 2000»
13 years 5 months ago
Size Fair and Homologous Tree Crossovers for Tree Genetic Programming
Abstract. Size fair and homologous crossover genetic operators for tree based genetic programming are described and tested. Both produce considerably reduced increases in program s...
William B. Langdon
CEC
2005
IEEE
13 years 11 months ago
Single parent genetic programming
The most controversial part of genetic programming is its highly disruptive and potentially innovative subtree crossover operator. The clearest problem with the crossover operator...
Wendy Ashlock, Dan Ashlock
GECCO
2004
Springer
155views Optimization» more  GECCO 2004»
13 years 11 months ago
Genetic Network Programming with Reinforcement Learning and Its Performance Evaluation
A new graph-based evolutionary algorithm named “Genetic Network Programming, GNP” has been proposed. GNP represents its solutions as directed graph structures, which can improv...
Shingo Mabu, Kotaro Hirasawa, Jinglu Hu