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.
Produkteigenschaften
- Artikelnummer: 9781461417699
- Medium: Buch
- ISBN: 978-1-4614-1769-9
- Verlag: Humana
- Erscheinungstermin: 01.11.2011
- Sprache(n): Englisch
- Auflage: 2011
- Serie: Genetic and Evolutionary Computation
- Produktform: Gebunden, HC runder Rücken kaschiert
- Gewicht: 606 g
- Seiten: 264
- Format (B x H x T): 160 x 241 x 21 mm
- Ausgabetyp: Kein, Unbekannt
