Genetic Programming Theory and Practice XIII

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. Topics in this volume include: mul...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Riolo, Rick (Editor), Worzel, W.P (Editor), Kotanchek, Mark (Editor), Kordon, Arthur (Editor)
Format: Electronic eBook
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2016.
Series:Genetic and Evolutionary Computation,
Subjects:
Online Access:Full Text via HEAL-Link
Table of Contents:
  • Evolving Simple Symbolic Regression Models by Multi-objective Genetic Programming
  • Learning Heuristics for Mining RNA Sequence-Structure Motifs
  • Kaizen Programming for Feature Construction for Classification
  • GP as if You Meant It: An Exercise for Mindful Practice
  • nPool: Massively Distributed Simultaneous Evolution and Cross-Validation in EC-Star
  • Highly Accurate Symbolic Regression with Noisy Training Data
  • Using Genetic Programming for Data Science: Lessons Learned
  • The Evolution of Everything (EvE) and Genetic Programming
  • Lexicase selection for program synthesis: a Diversity Analysis
  • Using Graph Databases to Explore the Dynamics of Genetic Programming Runs
  • Predicting Product Choice with Symbolic Regression and Classification
  • Multiclass Classification Through Multidimensional Clustering
  • Prime-Time: Symbolic Regression takes its place in the Real World.