Genetic Programming Theory and Practice XI (Paperback, Softcover reprint of the original 1st ed. 2014)

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: evolutionary constraints, relaxation of selection mechanisms, diversity preservation strategies, flexing fitness evaluation, evolution in dynamic environments, multi-objective and multi-modal selection, foundations of evolvability, evolvable and adaptive evolutionary operators, foundation of injecting expert knowledge in evolutionary search, analysis of problem difficulty and required GP algorithm complexity, foundations in running GP on the cloud - communication, cooperation, flexible implementation, and ensemble methods. Additional focal points for GP symbolic regression are: (1) The need to guarantee convergence to solutions in the function discovery mode; (2) Issues on model validation; (3) The need for model analysis workflows for insight generation based on generated GP solutions - model exploration, visualization, variable selection, dimensionality analysis; (4) Issues in combining different types of data. 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-Verlag New York
Country of origin:	United States
Series:	Genetic and Evolutionary Computation
Release date:	August 2016
First published:	2014
Editors:	Rick Riolo • Jason H. Moore • Mark Kotanchek
Dimensions:	235 x 155 x 13mm (L x W x T)
Format:	Paperback
Pages:	227
Edition:	Softcover reprint of the original 1st ed. 2014
ISBN-13:	978-1-4939-5563-3
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:	1-4939-5563-2
Barcode:	9781493955633

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