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Genetic Programming Theory and Practice XIV

Overview of attention for book
Genetic Programming Theory and Practice XIV
Springer International Publishing

Table of Contents

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    Book Overview
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    Chapter 1 Similarity-Based Analysis of Population Dynamics in Genetic Programming Performing Symbolic Regression
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    Chapter 2 An Investigation of Hybrid Structural and Behavioral Diversity Methods in Genetic Programming
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    Chapter 3 Investigating Multi-Population Competitive Coevolution for Anticipation of Tax Evasion
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    Chapter 4 Evolving Artificial General Intelligence for Video Game Controllers
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    Chapter 5 A Detailed Analysis of a PushGP Run
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    Chapter 6 Linear Genomes for Structured Programs
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    Chapter 7 Neutrality, Robustness, and Evolvability in Genetic Programming
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    Chapter 8 Local Search is Underused in Genetic Programming
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    Chapter 9 PRETSL: Distributed Probabilistic Rule Evolution for Time-Series Classification
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    Chapter 10 Discovering Relational Structure in Program Synthesis Problems with Analogical Reasoning
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    Chapter 11 An Evolutionary Algorithm for Big Data Multi-Class Classification Problems
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    Chapter 12 A Generic Framework for Building Dispersion Operators in the Semantic Space
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    Chapter 13 Assisting Asset Model Development with Evolutionary Augmentation
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    Chapter 14 Identifying and Harnessing the Building Blocks of Machine Learning Pipelines for Sensible Initialization of a Data Science Automation Tool
Attention for Chapter 12: A Generic Framework for Building Dispersion Operators in the Semantic Space
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