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Genetic Programming: 10th European Conference, EuroGP 2007, Valencia, Spain, April 11-13, 2007. Proceedings

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This book constitutes the refereed proceedings of the 10th European Conference on Genetic Programming, EuroGP 2007, held in Valencia, Spain in April 2007 colocated with EvoCOP 2007.

The 21 revised plenary papers and 14 revised poster papers were carefully reviewed and selected from 71 submissions. The papers address fundamental and theoretical issues, along with a wide variety of papers dealing with different application areas, such as chess game playing, real-time evaluation of VoIP, multi-objective optimization, evolution of recursive sorting algorithms, density estimation for inverse problem solving, image filter evolution, predicting prime numbers, data mining, grammatical genetic programming, layered learning, expression simplification, neutrality and evolvability, iterated function systems, particle swarm optimization, or open ended evolution. The use of Genetic Programming for several different applications shows that the method is a very general problem-solving paradigm.

Author(s): Erik Hemberg, Conor Gilligan, Michael O’Neill, Anthony Brabazon (auth.), Marc Ebner, Michael O’Neill, Anikó Ekárt, Leonardo Vanneschi, Anna Isabel Esparcia-Alcázar (eds.)
Series: Lecture Notes in Computer Science 4445 : Theoretical Computer Science and General Issues
Edition: 1
Publisher: Springer-Verlag Berlin Heidelberg
Year: 2007

Language: English
Pages: 382
Tags: Programming Techniques; Computation by Abstract Devices; Algorithm Analysis and Problem Complexity; Pattern Recognition; Artificial Intelligence (incl. Robotics); Computational Biology/Bioinformatics

Front Matter....Pages -
A Grammatical Genetic Programming Approach to Modularity in Genetic Algorithms....Pages 1-11
An Empirical Boosting Scheme for ROC-Based Genetic Programming Classifiers....Pages 12-22
Confidence Intervals for Computational Effort Comparisons....Pages 23-32
Crossover Bias in Genetic Programming....Pages 33-44
Density Estimation with Genetic Programming for Inverse Problem Solving....Pages 45-54
Empirical Analysis of GP Tree-Fragments....Pages 55-67
Empirical Comparison of Evolutionary Representations of the Inverse Problem for Iterated Function Systems....Pages 68-77
Evolution of an Efficient Search Algorithm for the Mate-In-N Problem in Chess....Pages 78-89
Fast Genetic Programming on GPUs....Pages 90-101
FIFTH TM : A Stack Based GP Language for Vector Processing....Pages 102-113
Genetic Programming with Fitness Based on Model Checking....Pages 114-124
Geometric Particle Swarm Optimisation....Pages 125-136
GP Classifier Problem Decomposition Using First-Price and Second-Price Auctions....Pages 137-147
Layered Learning in Boolean GP Problems....Pages 148-159
Mining Distributed Evolving Data Streams Using Fractal GP Ensembles....Pages 160-169
Multi-objective Genetic Programming for Improving the Performance of TCP....Pages 170-180
On Population Size and Neutrality: Facilitating the Evolution of Evolvability....Pages 181-192
On the Limiting Distribution of Program Sizes in Tree-Based Genetic Programming....Pages 193-204
Predicting Prime Numbers Using Cartesian Genetic Programming....Pages 205-216
Real-Time, Non-intrusive Evaluation of VoIP....Pages 217-228
Training Binary GP Classifiers Efficiently: A Pareto-coevolutionary Approach....Pages 229-240
A Comprehensive View of Fitness Landscapes with Neutrality and Fitness Clouds....Pages 241-250
Analysing the Regularity of Genomes Using Compression and Expression Simplification....Pages 251-260
Changing the Genospace: Solving GA Problems with Cartesian Genetic Programming....Pages 261-270
Code Regulation in Open Ended Evolution....Pages 271-280
Data Mining of Genetic Programming Run Logs....Pages 281-290
Evolving a Statistics Class Using Object Oriented Evolutionary Programming....Pages 291-300
Evolving Modular Recursive Sorting Algorithms....Pages 301-310
Fitness Landscape Analysis and Image Filter Evolution Using Functional-Level CGP....Pages 311-320
Genetic Programming Heuristics for Multiple Machine Scheduling....Pages 321-330
Group-Foraging with Particle Swarms and Genetic Programming....Pages 331-340
Multiple Interactive Outputs in a Single Tree: An Empirical Investigation....Pages 341-350
Parsimony Doesn’t Mean Simplicity: Genetic Programming for Inductive Inference on Noisy Data....Pages 351-360
The Holland Broadcast Language and the Modeling of Biochemical Networks....Pages 361-370
The Induction of Finite Transducers Using Genetic Programming....Pages 371-380
Back Matter....Pages -