Beschreibung
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 years edition, the topics covered include many of the most important issues and research questions in the eld, such as opportune application domains for GP-based methods, game playing and co-evolutionary search, symbolic regression and efcient 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.
Autorenporträt
Wolfgang Banzhaf is a professor in the Department of Computer Science and Engineering at Michigan State University.
Herstellerkennzeichnung:
Springer Verlag GmbH
Tiergartenstr. 17
69121 Heidelberg
DE
E-Mail: juergen.hartmann@springer.com
