Genetic Programming Theory and Practice IX

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 sca...

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Bibliographic Details
Main Author: Riolo, Rick
Corporate Author: SpringerLink (Online service)
Other Authors: Vladislavleva, Ekaterina, Moore, Jason H.
Format: Electronic eBook
Language:English
Published: New York, NY : Springer New York, 2011.
Series:Genetic and evolutionary computation series.
Subjects:
Online Access: Full text (Wentworth users only).
Description
Summary: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.
Physical Description:XXVII, 263 pages 57 illustrations, 4 illustrations in color : digital.
ISBN:9781461417705
ISSN:1932-0167
DOI:10.1007/978-1-4614-1770-5