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Genetic Programming Theory and Practice IX

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Cover of 'Genetic Programming Theory and Practice IX'

Table of Contents

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    Book Overview
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    Chapter 1 What’s in an Evolved Name? The Evolution of Modularity via Tag-Based Reference
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    Chapter 2 Let the Games Evolve!
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    Chapter 3 Novelty Search and the Problem with Objectives
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    Chapter 4 A Fine-Grained View of Phenotypes and Locality in Genetic Programming
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    Chapter 5 Evolution of an Effective Brain-Computer Interface Mouse via Genetic Programming with Adaptive Tarpeian Bloat Control
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    Chapter 6 Improved Time Series Prediction and Symbolic Regression with Affine Arithmetic
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    Chapter 7 Computational Complexity Analysis of Genetic Programming - Initial Results and Future Directions
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    Chapter 8 Accuracy in Symbolic Regression
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    Chapter 9 Human-Computer Interaction in a Computational Evolution System for the Genetic Analysis of Cancer
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    Chapter 10 Baseline Genetic Programming: Symbolic Regression on Benchmarks for Sensory Evaluation Modeling
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    Chapter 11 Detecting Shadow Economy Sizes with Symbolic Regression
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    Chapter 12 The Importance of Being Flat–Studying the Program Length Distributions of Operator Equalisation
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    Chapter 13 FFX: Fast, Scalable, Deterministic Symbolic Regression Technology
Attention for Chapter 10: Baseline Genetic Programming: Symbolic Regression on Benchmarks for Sensory Evaluation Modeling
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