Description: Genetic Programming Theory and Practice IX Please note: this item is printed on demand and will take extra time before it can be dispatched to you (up to 20 working days). Author(s): Rick Riolo, Ekaterina Vladislavleva, Jason H. Moore Format: Paperback Publisher: Springer-Verlag New York Inc., United States Imprint: Springer-Verlag New York Inc. ISBN-13: 9781461429418, 978-1461429418 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.
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Location: Aldershot
End Time: 2025-01-05T09:04:34.000Z
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Book Title: Genetic Programming Theory and Practice IX
Number of Pages: 264 Pages
Language: English
Publication Name: Genetic Programming Theory and Practice Ix
Publisher: Springer-Verlag New York Inc.
Publication Year: 2013
Subject: Computer Science
Item Height: 235 mm
Item Weight: 450 g
Type: Textbook
Author: Jason H. Moore, Rick Riolo, Ekaterina Vladislavleva
Series: Genetic and Evolutionary Computation
Item Width: 155 mm
Format: Paperback