Genetic Programming Theory and Practice XIV

ebook ∣ Genetic and Evolutionary Computation

By Rick Riolo

cover image of Genetic Programming Theory and Practice XIV

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Format

ebook

ISBN

9783319970875

Series

Genetic and Evolutionary Computation

Author

Rick Riolo

Publisher

Springer International Publishing

Release

24 October 2018

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Subjects

Computer Technology Nonfiction

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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.


    Format

    ebook

    ISBN

    9783319970875

    Series

    Genetic and Evolutionary Computation

    Author

    Rick Riolo

    Publisher

    Springer International Publishing

    Release

    24 October 2018

    Share

    Subjects

    Computer Technology Nonfiction
    Genetic Programming Theory and Practice XIV