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JDWM
2007
107views more  JDWM 2007»
15 years 3 months ago
Evolutionary Induction of Mixed Decision Trees
This article presents a new evolutionary algorithm (EA) for induction of mixed decision trees. In nonterminal nodes of a mixed tree, different types of tests can be placed, rangin...
Marek Kretowski, Marek Grzes
AIEDAM
2000
134views more  AIEDAM 2000»
15 years 3 months ago
Adaptive enlargement of state spaces in evolutionary designing
In designing a state space of possible designs is implied by the representation used and the computational processes that operate on that representation. GAs are a means of effect...
John S. Gero, Vladimir A. Kazakov
TSMC
2008
102views more  TSMC 2008»
15 years 3 months ago
Context-Dependent DNA Coding With Redundancy and Introns
Abstract--Deoxyribonucleic acid (DNA) coding methods determine the meaning of a certain character in individual chromosomes by the characters surrounding it. The meaning of each ch...
Peng Xiao, Prahlad Vadakkepat, Tong Heng Lee
GECCO
2011
Springer
248views Optimization» more  GECCO 2011»
14 years 7 months ago
Size-based tournaments for node selection
In genetic programming, the reproductive operators of crossover and mutation both require the selection of nodes from the reproducing individuals. Both unbiased random selection a...
Thomas Helmuth, Lee Spector, Brian Martin
GECCO
2011
Springer
276views Optimization» more  GECCO 2011»
14 years 7 months ago
Evolution of reward functions for reinforcement learning
The reward functions that drive reinforcement learning systems are generally derived directly from the descriptions of the problems that the systems are being used to solve. In so...
Scott Niekum, Lee Spector, Andrew G. Barto