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Item Details
Title: GENETIC PROGRAMMING THEORY AND PRACTICE IX
By: Rick Riolo (Editor), Ekaterina Vladislavleva (Editor), Jason H. Moore (Editor)
Format: Paperback

List price: £79.50


We currently do not stock this item, please contact the publisher directly for further information.

ISBN 10: 1461429412
ISBN 13: 9781461429418
Publisher: SPRINGER-VERLAG NEW YORK INC.
Pub. date: 29 November, 2013
Edition: 2011 ed.
Series: Genetic and Evolutionary Computation
Pages: 264
Description: This book describes cutting-edge work on genetic programming (GP) theory, applications of GP, and how theory can be used to guide the application of GP. It demonstrates large-scale applications of GP to a variety of problem domains.
Synopsis: 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 include: modularity and scalability; evolvability; human-competitive results; the need for important high-impact GP-solvable problems;; the risks of search stagnation and of cutting off paths to solutions; the need for novelty; empowering GP search with expert knowledge;In addition, GP symbolic regression is thoroughly discussed, addressing such topics as guaranteed reproducibility of SR; validating SR results, measuring and controlling genotypic complexity; controlling phenotypic complexity; identifying, monitoring, and avoiding over-fitting; finding a comprehensive collection of SR benchmarks, comparing SR to machine learning. This text is for all GP explorers. 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.
Illustrations: XXVIII, 264 p.
Publication: US
Imprint: Springer-Verlag New York Inc.
Returns: Returnable
Some other items by this author:
COMPUTATIONAL METHODS FOR GENETICS OF COMPLEX TRAITS (HB)
EPISTASIS (HB)
EPISTASIS (PB)
EVOLUTIONARY COMPUTATION, MACHINE LEARNING AND DATA MINING IN BIOINFORMATICS (PB)
EVOLUTIONARY COMPUTATION, MACHINE LEARNING AND DATA MINING IN BIOINFORMATICS (PB)
GENETIC PROGRAMMING THEORY AND PRACTICE (HB)
GENETIC PROGRAMMING THEORY AND PRACTICE (PB)
GENETIC PROGRAMMING THEORY AND PRACTICE (PB)
GENETIC PROGRAMMING THEORY AND PRACTICE (PB)
GENETIC PROGRAMMING THEORY AND PRACTICE II (HB)
GENETIC PROGRAMMING THEORY AND PRACTICE II (PB)
GENETIC PROGRAMMING THEORY AND PRACTICE III (HB)
GENETIC PROGRAMMING THEORY AND PRACTICE III (PB)
GENETIC PROGRAMMING THEORY AND PRACTICE IV (HB)
GENETIC PROGRAMMING THEORY AND PRACTICE IV (PB)
GENETIC PROGRAMMING THEORY AND PRACTICE IX (HB)
GENETIC PROGRAMMING THEORY AND PRACTICE V (HB)
GENETIC PROGRAMMING THEORY AND PRACTICE V (PB)
GENETIC PROGRAMMING THEORY AND PRACTICE VI (HB)
GENETIC PROGRAMMING THEORY AND PRACTICE VI (PB)
GENETIC PROGRAMMING THEORY AND PRACTICE VII (HB)
GENETIC PROGRAMMING THEORY AND PRACTICE VII (PB)
GENETIC PROGRAMMING THEORY AND PRACTICE VIII (HB)
GENETIC PROGRAMMING THEORY AND PRACTICE VIII (PB)
GENETIC PROGRAMMING THEORY AND PRACTICE X (HB)
GENETIC PROGRAMMING THEORY AND PRACTICE X (PB)
GENETIC PROGRAMMING THEORY AND PRACTICE XI (HB)
GENETIC PROGRAMMING THEORY AND PRACTICE XII (HB)
GENETIC PROGRAMMING THEORY AND PRACTICE XII (PB)
GENETIC PROGRAMMING THEORY AND PRACTICE XIII (HB)

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