Genetic and Evolutionary Computation

Banzhaf, Wolfgang; Olson, Randal S.; Tozier, William; Riolo, Rick

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.

Details

Published by: Springer

Publication Date: 2018-07-06

Format: Hardcover

ISBN-13: 9783319905112

DOI: 10.1007/978-3-319-90512-9

Dimensions: 235cm x155cm

Pages: 187