Computers & Internet Books:

Genetic Programming Theory and Practice IX

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Description

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.
Release date NZ
November 29th, 2013
Audience
  • Professional & Vocational
Contributors
  • Edited by Ekaterina Vladislavleva
  • Edited by Jason H Moore
  • Edited by Rick Riolo
Illustrations
XXVIII, 264 p.
Pages
264
Dimensions
155x235x15
ISBN-13
9781461429418
Product ID
21778706

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