Overview

This book, written by the foremost international researchers and practitioners of genetic programming (GP), explores 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 book 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.
ISBN-13

9789811681127

ISBN-10

9811681120

Weight

1.13 Pounds

Dimensions

6.14 x 0.56 x 9.21 In

List Price

$159.99

Edition

1st Edition

Format

Hardcover

Language

English

Pages

xiv, 212 pages

Publisher

Springer

Published On

2022-02-12


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