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Genetic Programming Theory and Practice IX

Produktform: Buch / Einband - fest (Hardcover)

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.weiterlesen

Dieser Artikel gehört zu den folgenden Serien

Sprache(n): Englisch

ISBN: 978-1-4614-1769-9 / 978-1461417699 / 9781461417699

Verlag: Springer US

Erscheinungsdatum: 01.11.2011

Seiten: 264

Auflage: 1

Zielgruppe: Professional/practitioner

Herausgegeben von Rick Riolo, Ekaterina Vladislavleva, Jason H. Moore

53,49 € inkl. MwSt.
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lieferbar - Lieferzeit 10-15 Werktage

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