Genetic Programming Theory and Practice XVIII (eBook)

Wolfgang Banzhaf, Leonardo Trujillo, Stephan Winkler, Bill Worzel (Herausgeber)

eBook Download: PDF

2022 | 1st ed. 2022
XIV, 212 Seiten
Springer Singapore (Verlag)
978-981-16-8113-4 (ISBN)

Infos

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 ?eld, such as opportune application domains for GP-based methods, game playing and co-evolutionary search, symbolic regression and ef?cient 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.

Wolfgang Banzhaf is a professor in the Department of Computer Science and Engineering at Michigan State University.

---

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 field, such as opportune application domains for GP-based methods, game playing and co-evolutionary search, symbolic regression and efficient 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.

Produkt-Details

• Erscheint lt. Verlag: 11.2.2022
• Reihe/Serie: Genetic and Evolutionary Computation
• Reihe/Serie: Genetic and Evolutionary Computation
• Zusatzinfo: XIV, 212 p. 74 illus., 62 illus. in color.
• Sprache: englisch
• Themenwelt: Mathematik / Informatik ► Informatik ► Programmiersprachen / -werkzeuge
• Themenwelt: Mathematik / Informatik ► Informatik ► Theorie / Studium
• Themenwelt: Mathematik / Informatik ► Mathematik ► Analysis
• Themenwelt: Medizin / Pharmazie ► Pflege
• Themenwelt: Medizin / Pharmazie ► Physiotherapie / Ergotherapie ► Orthopädie
• Themenwelt: Technik ► Medizintechnik
• Schlagworte: Artificial Evolution • Data Analysis • Evolution of Models • genetic programming • Genetic Programming Applications • Genetic Programming Theory • machine learning • program induction • Symbolic Regression
• ISBN-10: 981-16-8113-9 / 9811681139
• ISBN-13: 978-981-16-8113-4 / 9789811681134