Genetic Programming Theory and Practice XIX (eBook)

Leonardo Trujillo, Stephan M. Winkler, Sara Silva, Wolfgang Banzhaf (Herausgeber)

eBook Download: PDF

2023 | 1. Auflage
XIV, 262 Seiten
Springer-Verlag
978-981-19-8460-0 (ISBN)

Infos

This book brings together some of the most impactful researchers in the field of Genetic Programming (GP), each one working on unique and interesting intersections of theoretical development and practical applications of this evolutionary-based machine learning paradigm. Topics of particular interest for this year´s book include powerful modeling techniques through GP-based symbolic regression, novel selection mechanisms that help guide the evolutionary process, modular approaches to GP, and applications in cybersecurity, biomedicine and program synthesis, as well as papers by practitioner of GP that focus on usability and real-world results. In summary, readers will get a glimpse of the current state of the art in GP research.

Produkt-Details

• Erscheint lt. Verlag: 11.3.2023
• Reihe/Serie: Genetic and Evolutionary Computation
• Reihe/Serie: Genetic and Evolutionary Computation
• Zusatzinfo: XIV, 262 p. 104 illus., 93 illus. in color.
• Sprache: englisch
• Themenwelt: Mathematik / Informatik ► Informatik ► Programmiersprachen / -werkzeuge
• Themenwelt: Informatik ► Theorie / Studium ► Algorithmen
• Themenwelt: Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
• Themenwelt: Mathematik / Informatik ► Mathematik ► Analysis
• Themenwelt: Medizin / Pharmazie ► Pflege
• Themenwelt: Medizin / Pharmazie ► Physiotherapie / Ergotherapie ► Orthopädie
• Themenwelt: Technik ► Medizintechnik
• Schlagworte: Artificial Evolution • Automatic Modelling • evolutionary machine learning • Genetic improvement • genetic programming • Genetic Programming Applications • Genetic Programming Theory • Lexicase selection • Model Discovery • Program Synthesis • Symbolic Regression
• ISBN-10: 981-19-8460-3 / 9811984603
• ISBN-13: 978-981-19-8460-0 / 9789811984600