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Genetic Programming Theory and Practice VIII

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Cover of 'Genetic Programming Theory and Practice VIII'

Table of Contents

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    Book Overview
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    Chapter 1 Finch: A System for Evolving Java (Bytecode)
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    Chapter 2 Towards Practical Autoconstructive Evolution: Self-Evolution of Problem-Solving Genetic Programming Systems
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    Chapter 3 The Rubik Cube and GP Temporal Sequence Learning: An Initial Study
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    Chapter 4 Ensemble Classifiers: AdaBoost and Orthogonal Evolution of Teams
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    Chapter 5 Covariant Tarpeian Method for Bloat Control in Genetic Programming
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    Chapter 6 A Survey of Self Modifying Cartesian Genetic Programming
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    Chapter 7 Abstract Expression Grammar Symbolic Regression
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    Chapter 8 Age-Fitness Pareto Optimization
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    Chapter 9 Scalable Symbolic Regression by Continuous Evolution with Very Small Populations
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    Chapter 10 Symbolic Density Models of One-in-a-Billion Statistical Tails via Importance Sampling and Genetic Programming
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    Chapter 11 Genetic Programming Transforms in Linear Regression Situations
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    Chapter 12 Exploiting Expert Knowledge of Protein-Protein Interactions in a Computational Evolution System for Detecting Epistasis
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    Chapter 13 Composition of Music and Financial Strategies via Genetic Programming
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    Chapter 14 Evolutionary Art Using Summed Multi-Objective Ranks
Attention for Chapter 12: Exploiting Expert Knowledge of Protein-Protein Interactions in a Computational Evolution System for Detecting Epistasis
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