In this volume we present the contributions for the 18th European Conference on Genetic Programming (EuroGP 2005). The conference took place from 30 March to 1 April in Lausanne, Switzerland. EuroGP is a well-established conf- ence and the only one exclusively devoted to genetic programming. All previous proceedings were published by Springer in the LNCS series. From the outset, EuroGP has been co-located with the EvoWorkshops focusing on applications of evolutionary computation. Since 2004, EvoCOP, the conference on evolutionary combinatorial optimization, has also been co-located with EuroGP, making this year’s combined events one of the largest dedicated to evolutionary computation in Europe. Genetic programming (GP) is evolutionary computation that solves complex problems or tasks by evolving and adapting a population of computer programs, using Darwinian evolution and Mendelian genetics as its sources of inspiration. Some of the 34 papers included in these proceedings address foundational and theoretical issues and there is also a wide variety of papers dealing with di?erent application areas, such as computer science, engineering, language processing, biology and computational design, demonstrating that GP is a powerful and practical problem-solving paradigm.
Author(s): Christian W. G. Lasarczyk, Wolfgang Banzhaf (auth.), Maarten Keijzer, Andrea Tettamanzi, Pierre Collet, Jano van Hemert, Marco Tomassini (eds.)
Series: Lecture Notes in Computer Science 3447 : Theoretical Computer Science and General Issues
Edition: 1
Publisher: Springer-Verlag Berlin Heidelberg
Year: 2005
Language: English
Pages: 390
Tags: Programming Techniques; Computation by Abstract Devices; Algorithm Analysis and Problem Complexity; Artificial Intelligence (incl. Robotics); Pattern Recognition; Computer Appl. in Life Sciences
Front Matter....Pages -
An Algorithmic Chemistry for Genetic Programming....Pages 1-12
Assessing the Effectiveness of Incorporating Knowledge in an Evolutionary Concept Learner....Pages 13-24
Automated Re-invention of a Previously Patented Optical Lens System Using Genetic Programming....Pages 25-37
Bayesian Automatic Programming....Pages 38-49
Dynamic Size Populations in Distributed Genetic Programming....Pages 50-61
Evolution of Robot Controller Using Cartesian Genetic Programming....Pages 62-73
Evolving L-Systems to Capture Protein Structure Native Conformations....Pages 74-84
Evolving Rules for Document Classification....Pages 85-95
Genetic Programming in Wireless Sensor Networks....Pages 96-107
Genetic Transposition in Tree-Adjoining Grammar Guided Genetic Programming: The Duplication Operator....Pages 108-119
GP-EndChess: Using Genetic Programming to Evolve Chess Endgame Players....Pages 120-131
GP-Gammon: Using Genetic Programming to Evolve Backgammon Players....Pages 132-142
GP-Robocode: Using Genetic Programming to Evolve Robocode Players....Pages 143-154
Incorporating Learning Probabilistic Context-Sensitive Grammar in Genetic Programming for Efficient Evolution and Adaptation of Snakebot....Pages 155-166
Multi-logic-Unit Processor: A Combinational Logic Circuit Evaluation Engine for Genetic Parallel Programming....Pages 167-177
Operator-Based Distance for Genetic Programming: Subtree Crossover Distance....Pages 178-189
Repeated Patterns in Tree Genetic Programming....Pages 190-202
Tarpeian Bloat Control and Generalization Accuracy....Pages 203-214
The Tree-String Problem: An Artificial Domain for Structure and Content Search....Pages 215-226
Using Genetic Programming for Multiclass Classification by Simultaneously Solving Component Binary Classification Problems....Pages 227-239
Context-Based Repeated Sequences in Linear Genetic Programming....Pages 240-249
Evolution of a Strategy for Ship Guidance Using Two Implementations of Genetic Programming....Pages 250-260
Evolution of Vertex and Pixel Shaders....Pages 261-270
Evolve Schema Directly Using Instruction Matrix Based Genetic Programming....Pages 271-280
Evolving Defence Strategies by Genetic Programming....Pages 281-290
Extending Particle Swarm Optimisation via Genetic Programming....Pages 291-300
Inducing Diverse Decision Forests with Genetic Programming....Pages 301-310
mGGA: The meta-Grammar Genetic Algorithm....Pages 311-320
On Prediction of Epileptic Seizures by Computing Multiple Genetic Programming Artificial Features....Pages 321-330
Relative Fitness and Absolute Fitness for Co-evolutionary Systems....Pages 331-340
Teams of Genetic Predictors for Inverse Problem Solving....Pages 341-350
Understanding Evolved Genetic Programs for a Real World Object Detection Problem....Pages 351-360
Undirected Training of Run Transferable Libraries....Pages 361-370
Zero Is Not a Four Letter Word: Studies in the Evolution of Language....Pages 371-380
Back Matter....Pages -
