Genetic Programming Theory and Practice XVII (Paperback, 1st ed. 2020)

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. In this year's edition, the topics covered include many of the most important issues and research questions in the field, such as: opportune application domains for GP-based methods, game playing and co-evolutionary search, symbolic regression and efficient learning strategies, encodings and representations for GP, schema theorems, and new selection mechanisms.The volume includes 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.

General

Imprint:	Springer Nature Switzerland AG
Country of origin:	Switzerland
Series:	Genetic and Evolutionary Computation
Release date:	May 2021
First published:	2020
Editors:	Wolfgang Banzhaf • Erik Goodman • Leigh Sheneman • Leonardo Trujillo • Bill Worzel
Dimensions:	235 x 155mm (L x W)
Format:	Paperback
Pages:	409
Edition:	1st ed. 2020
ISBN-13:	978-3-03-039960-3
Categories:	Books > Computing & IT > General theory of computing > Data structures Books > Computing & IT > Computer programming > Algorithms & procedures Books > Computing & IT > Applications of computing > Artificial intelligence > General
LSN:	3-03-039960-5
Barcode:	9783030399603

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