Genetic Programming Theory and Practice IX
Buch in deiner Nähe kaufen
Beschreibung
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.
Describes cutting-edge work on genetic programming (GP) theory, applications of GP, and how theory can be used to guide application of GP Demonstrates large-scale applications of GP to a variety of problem domains Reveals an inspiring synergy between GP applications and the latest in theoretical results for state-of –the-art problem solving Addresses symbolic regression as a mode of genetic programming
Autor*in
Rick Riolo
Themen in »Genetic Programming Theory and Practice IX«
FFX automatic programming computational complexity evolutionary games genetic programming novelty search program induction sensory evaluation modeling symbolic regression tag-based reference time series prediction algorithm analysis and problem complexity