English | 2022 | ISBN: 9811681120 | 220 Pages | EPUB PDF | 37 MB
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 i¬eld, such as opportune application domains for GP-based methods, game playing and co-evolutionary search, symbolic regression and efi¬cient learning strats, 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.
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