Genetic Programming

Table of Contents

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   Book Overview
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   Chapter 1 Training Time and Team Composition Robustness in Evolved Multi-agent Systems
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   Chapter 2 Winning Ant Wars: Evolving a Human-Competitive Game Strategy Using Fitnessless Selection
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   Chapter 3 In Silicon No One Can Hear You Scream: Evolving Fighting Creatures
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   Chapter 4 Real-Time, Non-intrusive Speech Quality Estimation: A Signal-Based Model
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   Chapter 5 Good News: Using News Feeds with Genetic Programming to Predict Stock Prices
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   Chapter 6 A Genetic Programming Approach to Deriving the Spectral Sensitivity of an Optical System
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   Chapter 7 A SIMD Interpreter for Genetic Programming on GPU Graphics Cards
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   Chapter 8 Partitioned Incremental Evolution of Hardware Using Genetic Programming
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    Chapter 9 Population Parallel GP on the G80 GPU
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    Chapter 10 Operator Equalisation and Bloat Free GP
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    Chapter 11 Practical Model of Genetic Programming’s Performance on Rational Symbolic Regression Problems
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    Chapter 12 Semantic Building Blocks in Genetic Programming
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    Chapter 13 A Simple Powerful Constraint for Genetic Programming
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    Chapter 14 Crossover, Sampling, Bloat and the Harmful Effects of Size Limits
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    Chapter 15 The Performance of a Selection Architecture for Genetic Programming
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    Chapter 16 A Comparison of Cartesian Genetic Programming and Linear Genetic Programming
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    Chapter 17 Evolvability Via Modularity-Induced Mutational Focussing
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    Chapter 18 A Linear Estimation-of-Distribution GP System
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    Chapter 19 Feature Discovery in Reinforcement Learning Using Genetic Programming
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    Chapter 20 Hardware Accelerators for Cartesian Genetic Programming
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    Chapter 21 Genetic Programming and Class-Wise Orthogonal Transformation for Dimension Reduction in Classification Problems
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    Chapter 22 Evolving Proactive Aggregation Protocols
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    Chapter 23 GP Classification under Imbalanced Data sets: Active Sub-sampling and AUC Approximation
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    Chapter 24 Exposing a Bias Toward Short-Length Numbers in Grammatical Evolution
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    Chapter 25 Cooperative Problem Decomposition in Pareto Competitive Classifier Models of Coevolution
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    Chapter 26 Integrating Categorical Variables with Multiobjective Genetic Programming for Classifier Construction
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    Chapter 27 The Effects of Constant Neutrality on Performance and Problem Hardness in GP
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    Chapter 28 Applying Cost-Sensitive Multiobjective Genetic Programming to Feature Extraction for Spam E-mail Filtering
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    Chapter 29 PlasmidPL: A Plasmid-Inspired Language for Genetic Programming
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    Chapter 30 Using Genetic Programming for Turing Machine Induction
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    Chapter 31 Altering Search Rates of the Meta and Solution Grammars in the mGGA