This book constitutes the refereed proceedings of the 9th European Conference on Genetic Programming, EuroGP 2006, held in Budapest, Hungary, in April 2006, colocated with EvoCOP 2006.
The 21 revised plenary papers and 11 revised poster papers were carefully reviewed and selected from 59 submissions. The papers address fundamental and theoretical issues, along with a wide variety of papers dealing with different application areas, such as computer science, engineering, machine learning, Kolmogorov complexity, biology and computational design, showing that GP is a powerful and practical problem-solving paradigm.
Author(s): Patrick LaRoche, A. Nur Zincir-Heywood (auth.), Pierre Collet, Marco Tomassini, Marc Ebner, Steven Gustafson, Anikó Ekárt (eds.)
Series: Lecture Notes in Computer Science 3905
Edition: 1
Publisher: Springer-Verlag Berlin Heidelberg
Year: 2006
Language: English
Pages: 364
Tags: Programming Techniques; Computation by Abstract Devices; Algorithm Analysis and Problem Complexity; Pattern Recognition; Artificial Intelligence (incl. Robotics); Computer Appl. in Life Sciences
Front Matter....Pages -
802.11 De-authentication Attack Detection Using Genetic Programming....Pages 1-12
A Divide & Conquer Strategy for Improving Efficiency and Probability of Success in Genetic Programming....Pages 13-23
A Genetic Programming Approach to Solomonoff’s Probabilistic Induction....Pages 24-35
A Less Destructive, Context-Aware Crossover Operator for GP....Pages 36-48
AQUAGP: Approximate QUery Answers Using Genetic Programming....Pages 49-60
Blindbuilder: A New Encoding to Evolve Lego-Like Structures....Pages 61-72
Dynamic Scheduling with Genetic Programming....Pages 73-84
Emergent Generality of Adapted Locomotion Gaits of Simulated Snake-Like Robot....Pages 85-96
Evolving Crossover Operators for Function Optimization....Pages 97-108
Genetic Programming, Validation Sets, and Parsimony Pressure....Pages 109-120
Geometric Crossover for Biological Sequences....Pages 121-132
Incentive Method to Handle Constraints in Evolutionary Algorithms with a Case Study....Pages 133-144
Iterative Filter Generation Using Genetic Programming....Pages 145-153
Iterative Prototype Optimisation with Evolved Improvement Steps....Pages 154-165
Learning Recursive Functions with Object Oriented Genetic Programming....Pages 166-177
Negative Slope Coefficient: A Measure to Characterize Genetic Programming Fitness Landscapes....Pages 178-189
Population Clustering in Genetic Programming....Pages 190-201
Projecting Financial Data Using Genetic Programming in Classification and Regression Tasks....Pages 202-212
Solving Sudoku with the GAuGE System....Pages 213-224
The Halting Probability in Von Neumann Architectures....Pages 225-237
Using Subtree Crossover Distance to Investigate Genetic Programming Dynamics....Pages 238-249
Characterizing Diversity in Genetic Programming....Pages 250-259
Complexity and Cartesian Genetic Programming....Pages 260-269
Design of Robust Communication Systems Using Genetic Algorithms....Pages 270-279
Developmental Evaluation in Genetic Programming: The Preliminary Results....Pages 280-289
Evolving Noisy Oscillatory Dynamics in Genetic Regulatory Networks....Pages 290-299
Information-Dependent Switching of Identification Criteria in a Genetic Programming System for System Identification....Pages 300-309
Invariance of Function Complexity Under Primitive Recursive Functions....Pages 310-319
On the Locality of Grammatical Evolution....Pages 320-330
Optimizing the Initialization of Dynamic Decision Heuristics in DPLL SAT Solvers Using Genetic Programming....Pages 331-340
P-CAGE: An Environment for Evolutionary Computation in Peer-to-Peer Systems....Pages 341-350
Positional Independence and Recombination in Cartesian Genetic Programming....Pages 351-360
Back Matter....Pages -
