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Book 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.

Book details

Book category Books in English Computing & information technology Computer science Artificial intelligence

• Full title: Genetic Programming Theory and Practice IX
• Author: Rick Riolo, Ekaterina Vladislavleva, Jason H. Moore
• Language: English
• Binding: Hardback
• Number of pages: 295
• EAN: 9781461417699
• ISBN: 1461417694
• ID: 01427067
• Publisher: Springer, Berlin
• Weight: 558 g
• Dimensions: 235 × 155 × 18 mm
• Date of publishing: 26. November 2011

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