Genetic Programming Theory and Practice XIII

Nonfiction, Computers, Advanced Computing, Artificial Intelligence, General Computing, Programming
Cover of the book Genetic Programming Theory and Practice XIII by , Springer International Publishing
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: ISBN: 9783319342238
Publisher: Springer International Publishing Publication: December 20, 2016
Imprint: Springer Language: English
Author:
ISBN: 9783319342238
Publisher: Springer International Publishing
Publication: December 20, 2016
Imprint: Springer
Language: English

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: multi-objective genetic programming, learning heuristics, Kaizen programming, Evolution of Everything (EvE), lexicase selection, behavioral program synthesis, symbolic regression with noisy training data, graph databases, and multidimensional clustering. It also covers several chapters on best practices and lesson learned from hands-on experience. Additional application areas include financial operations, genetic analysis, and predicting product choice. 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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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: multi-objective genetic programming, learning heuristics, Kaizen programming, Evolution of Everything (EvE), lexicase selection, behavioral program synthesis, symbolic regression with noisy training data, graph databases, and multidimensional clustering. It also covers several chapters on best practices and lesson learned from hands-on experience. Additional application areas include financial operations, genetic analysis, and predicting product choice. 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.

More books from Springer International Publishing

Cover of the book Crisis Management in Acute Care Settings by
Cover of the book Leadership in Islam by
Cover of the book Complications in Corneal Laser Surgery by
Cover of the book Test of Implicit Associations in Relationship Attitudes (TIARA) by
Cover of the book Traveling Irishness in the Long Nineteenth Century by
Cover of the book Patterns of Rationality by
Cover of the book Investment Strategy in Heating and CHP by
Cover of the book Frugal Innovation in Healthcare by
Cover of the book Eco-Socialism For Now and the Future by
Cover of the book Porous Carbons – Hyperbranched Polymers – Polymer Solvation by
Cover of the book 2nd Karl Schwarzschild Meeting on Gravitational Physics by
Cover of the book Intuitive Introductory Statistics by
Cover of the book Desiderata Geotechnica by
Cover of the book Precision Molecular Pathology of Myeloid Neoplasms by
Cover of the book Ultrafast Nonlinear Optics by
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy