Genetic Programming Theory and Practice IX

Rick Riolo (Curatore)

Ekaterina Vladislavleva (Curatore)

Springer-Verlag New York Inc., 2011

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.

• Curatore: Rick Riolo, Ekaterina Vladislavleva
• Editore: Springer-Verlag New York Inc.
• Collana: Genetic and Evolutionary Computation
• Anno: 2011
• Rilegatura: Hardback
• Pagine: 264 p.
• Dimensioni: 235 x 155 mm
• EAN: 9781461417699

Testo in English