Genetic Programming Theory and Practice XXI
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Beschreibung
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.
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.
Provides a unique combination of theoretical contributions and state-of-the-art real-world problem solving with GP Explores the intersection of GP, and evolutionary computation, with machine learning and deep learning methods Includes novel selection strategies, modular architectures, and unique fitness assignment strategies
Autor*in
Stephan M. Winkler
Themen in »Genetic Programming Theory and Practice XXI«
Genetic Programming Genetic Programming Theory Genetic Programming Applications Symbolic Regression Evolutionary Machine Learning Program Synthesis Genetic Improvement Lexicase Selection Artificial Evolution Model Discovery Automatic Modelling Evolutionary Art Ethics in Computer Science Bioinformatics LLMs