ENGLISH

Genetic Programming Theory and Practice IX

By Rick Riolo , Jason H. Moore (eds.) , Lee Spector , Kyle Harrington , Brian Martin (auth.) , Ekaterina Vladislavleva

Book information

Publisher
Springer-Verlag New York
Year
2011
ISBN
1461417694, 9781461417699
DOI
10.1007/978-1-4614-1770-5
ISSN
1932-0167
Google Books ID
5xO5nmHGGvoC
Language
english
Format
PDF
Filesize
7 MB (7084074 bytes)
Series
Genetic and Evolutionary Computation
Edition
1
Pages
264\292
Orientation
yes
Scanned
no
Time added
2012-02-14 18:00:00
Artificial Intelligence (incl. Robotics); Theory o

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.

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