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Genetic Programming Theory and Practice XIV : Genetic and Evolutionary Computation - Author

Genetic Programming Theory and Practice XIV

By: Author

eText | 24 October 2018

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These contributions, written by the foremost international researchers and practitioners of Genetic Programming (GP), explore the synergy between theoretical and empirical results on real-world problems, producing a comprehensive view of the state of the art in GP. Chapters in this volume include:

  • Similarity-based Analysis of Population Dynamics in GP Performing Symbolic Regression

  • Hybrid Structural and Behavioral Diversity Methods in GP

  • Multi-Population Competitive Coevolution for Anticipation of Tax Evasion

  • Evolving Artificial General Intelligence for Video Game Controllers

  • A Detailed Analysis of a PushGP Run

  • Linear Genomes for Structured Programs

  • Neutrality, Robustness, and Evolvability in GP

  • Local Search in GP

  • PRETSL: Distributed Probabilistic Rule Evolution for Time-Series Classification

  • Relational Structure in Program Synthesis Problems with Analogical Reasoning

  • An Evolutionary Algorithm for Big Data Multi-Class Classification Problems

  • A Generic Framework for Building Dispersion Operators in the Semantic Space

  • Assisting Asset Model Development with Evolutionary Augmentation

  • Building Blocks of Machine Learning Pipelines for Initialization of a Data Science Automation Tool

Readers will discover large-scale, real-world applications of GP to a variety of problem domains via in-depth presentations of the latest and most significant results.

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Non-FictionComputing & I.T.Computer ScienceArtificial IntelligenceEngineering & TechnologyTechnology in GeneralEngineering in GeneralComputer Programming & Software DevelopmentAlgorithms & Data Structures

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