Genetic search methods in air traffic control
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Exploiting disruption aversion to control code bloat
GECCO '05 Proceedings of the 7th annual conference on Genetic and evolutionary computation
Comparison of extrasystolic ECG signal classifiers using discrete wavelet transforms
Pattern Recognition Letters
Preface: Introduction to the special issue on evolutionary computer vision and image understanding
Pattern Recognition Letters - Special issue: Evolutionary computer vision and image understanding
Evolving model trees for mining data sets with continuous-valued classes
Expert Systems with Applications: An International Journal
Modelling Medical Time Series Using Grammar-Guided Genetic Programming
ICDM '08 Proceedings of the 8th industrial conference on Advances in Data Mining: Medical Applications, E-Commerce, Marketing, and Theoretical Aspects
Meta-Modeling in Multiobjective Optimization
Multiobjective Optimization
Divide and conquer: genetic programming based on multiple branches encoding
EuroGP'03 Proceedings of the 6th European conference on Genetic programming
The effect of plagues in genetic programming: a study of variable-size populations
EuroGP'03 Proceedings of the 6th European conference on Genetic programming
Robust symbolic regression with affine arithmetic
Proceedings of the 12th annual conference on Genetic and evolutionary computation
Evolutionary construction and adaptation of intelligent systems
Expert Systems with Applications: An International Journal
Automatic multiple circle detection based on artificial immune systems
Expert Systems with Applications: An International Journal
An evolutionary approach for searching metabolic pathways
Computers in Biology and Medicine
Identification of epilepsy stages from ECoG using genetic programming classifiers
Computers in Biology and Medicine
Co-evolutionary automatic programming for software development
Information Sciences: an International Journal
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This is one of the only books to provide a complete and coherent review of the theory of genetic programming (GP). In doing so, it provides a coherent consolidation of recent work on the theoretical foundations of GP. A concise introduction to GP and genetic algorithms (GA) is followed by a discussion of fitness landscapes and other theoretical approaches to natural and artificial evolution. Having surveyed early approaches to GP theory it presents new exact schema analysis, showing that it applies to GP as well as to the simpler GAs. New results on the potentially infinite number of possible programs are followed by two chapters applying these new techniques.