Articles liés à Genetic Programming Theory and Practice IX
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.
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Présentation de l'éditeur
This book describes cutting-edge work on genetic programming (GP) theory, applications of GP, and how theory can be used to guide the application of GP. It demonstrates large-scale applications of GP to a variety of problem domains.
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Genetic Programming Theory and Practice IX
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Genetic Programming Theory and Practice IX (Paperback)
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Springer-Verlag New York Inc., New York, NY, 2013
ISBN 10 : 1461429412
ISBN 13 : 9781461429418
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Paperback. Etat : new. Paperback. 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. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9781461429418
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Genetic Programming Theory and Practice IX (Genetic and Evolutionary Computation)
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Genetic Programming Theory and Practice IX
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Springer, 2013
ISBN 10 : 1461429412
ISBN 13 : 9781461429418
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Genetic Programming Theory and Practice IX
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Genetic Programming Theory and Practice IX
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Genetic Programming Theory and Practice IX (Genetic and Evolutionary Computation)
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Genetic Programming Theory and Practice IX (Genetic and Evolutionary Computation)
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Genetic Programming Theory and Practice IX
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Genetic Programming Theory and Practice IX
Edité par
Springer New York Nov 2013, 2013
ISBN 10 : 1461429412
ISBN 13 : 9781461429418
Neuf
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Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 292 pp. Englisch. N° de réf. du vendeur 9781461429418
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