Genetic Programming
by O'Neill, Michael; Vanneschi, Leonardo; Gustafson, Steven; Alcazar, Anna Isabel EsparciaFormat: Paperback
Pub. Date: 2008-05-16
Publisher(s): Springer-Verlag New York Inc
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Summary
This book constitutes the refereed proceedings of the 11th European Conference on Genetic Programming, EuroGP 2008, held in Naples, Italy, in March 2008 colocated with EvoCOP 2008.The 21 revised plenary papers and 10 revised poster papers were carefully reviewed and selected from a total of 61 submissions. A great variety of topics are presented reflecting the current state of research in the field of genetic programming, including the latest work on representations, theory, operators and analysis, evolvable hardware, agents and numerous applications.
Table of Contents
| Training Time and Team Composition Robustness in Evolved Multi-agent Systems | p. 1 |
| Winning Ant Wars: Evolving a Human-Competitive Game Strategy Using Fitnessless Selection | p. 13 |
| In Silicon No One Can Hear You Scream: Evolving Fighting Creatures | p. 25 |
| Real-Time, Non-intrusive Speech Quality Estimation: A Signal-Based Model | p. 37 |
| Good News: Using News Feeds with Genetic Programming to Predict Stock Prices | p. 49 |
| A Genetic Programming Approach to Deriving the Spectral Sensitivity of an Optical System | p. 61 |
| A SIMD Interpreter for Genetic Programming on GPU Graphics Cards | p. 73 |
| Partitioned Incremental Evolution of Hardware Using Genetic Programming | p. 86 |
| Population Parallel GP on the G80 GPU | p. 98 |
| Operator Equalisation and Bloat Free GP | p. 110 |
| Practical Model of Genetic Programming's Performance on Rational Symbolic Regression Problems | p. 122 |
| Semantic Building Blocks in Genetic Programming | p. 134 |
| A Simple Powerful Constraint for Genetic Programming | p. 146 |
| Crossover, Sampling, Bloat and the Harmful Effects of Size Limits 158 | |
| The Performance of a Selection Architecture for Genetic Programming | p. 170 |
| A Comparison of Cartesian Genetic Programming and Linear Genetic Programming | p. 182 |
| Evolvability Via Modularity-Induced Mutational Focussing | p. 194 |
| A Linear Estimation-of-Distribution GP System | p. 206 |
| Feature Discovery in Reinforcement Learning Using Genetic Programming | p. 218 |
| Hardware Accelerators for Cartesian Genetic Programming | p. 230 |
| Genetic Programming and Class-Wise Orthogonal Transformation for Dimension Reduction in Classification Problems | p. 242 |
| Evolving Proactive Aggregation Protocols | p. 254 |
| GP Classification under Imbalanced Data Sets: Active Sub-sampling and AUC Approximation | p. 266 |
| Exposing a Bias Toward Short-Length Numbers in Grammatical Evolution | p. 278 |
| Cooperative Problem Decomposition in Pareto Competitive Classifier Models of Coevolution | p. 289 |
| Integrating Categorical Variables with Multiobjective Genetic Programming for Classifier Construction | p. 301 |
| The Effects of Constant Neutrality on Performance and Problem Hardness in GP | p. 312 |
| Applying Cost-Sensitive Multiobjective Genetic Programming to Feature Extraction for Spam E-mail Filtering | p. 325 |
| PlasmidPL: A Plasmid-Inspired Language for Genetic Programming | p. 337 |
| Using Genetic Programming for Turing Machine Induction | p. 350 |
| Altering Search Rates of the Meta and Solution Grammars in the mGGA | p. 362 |
| Author Index | p. 375 |
| Table of Contents provided by Blackwell. All Rights Reserved. |
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