Overview

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.

ISBN-13

9783319342214

ISBN-10

3319342215

Weight

12.13 Pounds

Dimensions

6.14 x 0.69 x 9.21 In

List Price

$109.99

Edition

1st Edition

Format

Hardcover

Language

English

Pages

xx, 262 pages

Publisher

Springer

Published On

2016-12-30


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