Genetic programming theory and practice X /

Genetic programming theory and practice X /

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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. Topics in this volume include: evo...

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Bibliographic Details
Corporate Author: Workshop on Genetic Programming, Theory and Practice Ann Arbor, Mich.
Other Authors: Riolo, Rick
Format: Conference Proceeding Book
Language:English
Published: New York : Springer, c2013
New York : ©2013
Series:Genetic and evolutionary computation series
Subjects:
Artificial intelligence
Genetic programming (Computer science)
Artificial Intelligence
Software
Intelligence artificielle
Logiciels
Programmation génétique (Informatique)
COMPUTERS > Enterprise Applications > Business Intelligence Tools
COMPUTERS > Intelligence (AI) & Semantics
artificial intelligence
software
algorithms
algoritmen
computational science
computer analysis
computer sciences
computer techniques
computeranalyse
computertechnieken
computerwetenschappen
kunstmatige intelligentie
programmeren
programming
Informatie- en communicatietechnologie (algemeen)
Information and Communication Technology (General)
Ebook
Electronic books
Computer software
Table of Contents:
  • Evolving SQL Queries from Examples with Developmental Genetic Programming / Thomas Helmuth, Lee Spector
  • A Practical Platform for On-Line Genetic Programming for Robotics / Terence Soule, Robert B. Heckendorn
  • Cartesian Genetic Programming for Image Processing / Simon Harding, Jürgen Leitner
  • A New Mutation Paradigm for Genetic Programming / Christian Darabos, Mario Giacobini, Ting Hu
  • Introducing an Age-Varying Fitness Estimation Function / Babak Hodjat, Hormoz Shahrzad
  • EC-Star: A Massive-Scale, Hub and Spoke, Distributed Genetic Programming System / Una-May O'Reilly, Mark Wagy, Babak Hodjat
  • Genetic Analysis of Prostate Cancer Using Computational Evolution, Pareto-Optimization and Post-processing / Jason H. Moore, Douglas P. Hill
  • Meta-Dimensional Analysis of Phenotypes Using the Analysis Tool for Heritable and Environmental Network Associations (ATHENA): Challenges with Building Large Networks / Marylyn D. Ritchie, Emily R. Holzinger
  • A Baseline Symbolic Regression Algorithm / Michael F. Korns
  • Symbolic Regression Model Comparison Approach Using Transmitted Variation / Flor A. Castillo, Carlos M. Villa
  • A Framework for the Empirical Analysis of Genetic Programming System Performance / Oliver Flasch, Thomas Bartz-Beielstein
  • More or Less? Two Approaches to Evolving Game-Playing Strategies / Amit Benbassat, Achiya Elyasaf, Moshe Sipper
  • Symbolic Regression Is Not Enough: It Takes a Village to Raise a Model / Mark E. Kotanchek, Ekaterina Vladislavleva
  • FlexGP.py: Prototyping Flexibly-Scaled, Flexibly-Factored Genetic Programming for the Cloud / James McDermott, Kalyan Veeramachaneni
  • Representing Communication and Learning in Femtocell Pilot Power Control Algorithms / Erik Hemberg, Lester Ho, Michael O'Neill

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