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Genetic programming theory and pract...
~
(1998 :)
Genetic programming theory and practice XV
Record Type:
Electronic resources : Monograph/item
Title/Author:
Genetic programming theory and practice XVedited by Wolfgang Banzhaf ... [et al.].
remainder title:
Genetic programming theory and practice 15
other author:
Banzhaf, Wolfgang.
corporate name:
Published:
Cham :Springer International Publishing :2018.
Description:
xv, 187 p. :ill., digital ;24 cm.
Contained By:
Springer eBooks
Subject:
Genetic programming (Computer science)
Online resource:
http://dx.doi.org/10.1007/978-3-319-90512-9
ISBN:
9783319905129$q(electronic bk.)
Genetic programming theory and practice XV
Genetic programming theory and practice XV
[electronic resource] /Genetic programming theory and practice 15edited by Wolfgang Banzhaf ... [et al.]. - Cham :Springer International Publishing :2018. - xv, 187 p. :ill., digital ;24 cm. - Genetic and evolutionary computation,1932-0167. - Genetic and evolutionary computation..
These contributions, written by the foremost international researchers and practitioners of Genetic Programming (GP), explore the synergy between theoretical and empirical results on real-world problems, producing a comprehensive view of the state of the art in GP. Topics in this volume include: exploiting subprograms in genetic programming, schema frequencies in GP, Accessible AI, GP for Big Data, lexicase selection, symbolic regression techniques, co-evolution of GP and LCS, and applying ecological principles to GP. It also covers several chapters on best practices and lessons learned from hands-on experience. Readers will discover large-scale, real-world applications of GP to a variety of problem domains via in-depth presentations of the latest and most significant results.
ISBN: 9783319905129$q(electronic bk.)
Standard No.: 10.1007/978-3-319-90512-9doiSubjects--Topical Terms:
206263
Genetic programming (Computer science)
LC Class. No.: QA76.623
Dewey Class. No.: 006.31
Genetic programming theory and practice XV
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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 in this volume include: exploiting subprograms in genetic programming, schema frequencies in GP, Accessible AI, GP for Big Data, lexicase selection, symbolic regression techniques, co-evolution of GP and LCS, and applying ecological principles to GP. It also covers several chapters on best practices and lessons learned from hands-on experience. 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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Computer Science (Springer-11645)
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電子館藏
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1
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000000160917
電子館藏
1圖書
電子書
EB QA76.623 W926 2017 2018
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0
1 records • Pages 1 •
1
Multimedia
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http://dx.doi.org/10.1007/978-3-319-90512-9
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