Sciweavers

39 search results - page 3 / 8
» Adaption of Operator Probabilities in Genetic Programming
Sort
View
GPEM
2000
121views more  GPEM 2000»
14 years 9 months ago
Bayesian Methods for Efficient Genetic Programming
ct. A Bayesian framework for genetic programming GP is presented. This is motivated by the observation that genetic programming iteratively searches populations of fitter programs ...
Byoung-Tak Zhang
GECCO
2007
Springer
213views Optimization» more  GECCO 2007»
15 years 1 months ago
Aspects of adaptation in natural and artificial evolution
This work addresses selected aspects of natural evolution, especially of the field of population genetics, that are considered to be meaningful for algorithmic further development...
Michael Affenzeller, Stefan Wagner 0002, Stephan M...
TEC
1998
106views more  TEC 1998»
14 years 9 months ago
Combining mutation operators in evolutionary programming
Abstract— Traditional investigations with evolutionary programming (EP) for continuous parameter optimization problems have used a single mutation operator with a parameterized p...
Kumar Chellapilla
ESIAT
2009
IEEE
14 years 7 months ago
Path Planning Based on Dynamic Sub-population Pseudo-Parallel Genetic Algorithm
Through analysis of present pseudo-parallel genetic algorithm, propose a new dynamic sub-population pseudo-parallel genetic algorithm. It changes the condition that the magnitude o...
Lei Li, Yuemei Ren, Changyu Yang
APIN
2000
103views more  APIN 2000»
14 years 9 months ago
Probabilistic Pattern Matching and the Evolution of Stochastic Regular Expressions
The use of genetic programming for probabilistic pattern matching is investigated. A stochastic regular expression language is used. The language features a statistically sound sem...
Brian J. Ross