Genetic Programming Theory and Practice XIV (Genetic and Evolutionary Computation)

by Bill Worzel (Editor), Brian Goldman (Editor), Bill Worzel (Editor), Rick Riolo (Editor)

• New

  Hardcover
  2018

  $126.65

  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.