: Rick Riolo, Bill Worzel, Brian Goldman, Bill Tozier
: Genetic Programming Theory and Practice XIV
: Springer-Verlag
: 9783319970882
: 1
: CHF 49.80
:
: Anwendungs-Software
: English
: 227
: Wasserzeichen
: PC/MAC/eReader/Tablet
: PDF

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: 

    li>Similarity-based Analysis of Population Dynamics in GP Performing Symbolic Regression
  • Hybrid Structural and Behavioral Diversity Methods in GP
  • Multi-Populati n 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
  • Neutrali y, Robustness, and Evolvability in GP
  • Local Search in GP
  • PRETSL: Distributed Probabilistic Rule Evolution for Time-Series Classification
  • Re ational 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
  • Buil ing Blocks of Machine Learning Pipelines for Initialization of a Data Science Automation Tool 

Reader 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.