Genetic Programming Theory and Practice XIX

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

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Springer Nature Singapore img Link Publisher

Naturwissenschaften, Medizin, Informatik, Technik / Informatik

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.

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Schlagwörter

Genetic Improvement, Lexicase Selection, Model Discovery, Symbolic Regression, Artificial Evolution, Genetic Programming Applications, Genetic Programming Theory, Automatic Modelling, Program Synthesis, Evolutionary Machine Learning, Genetic Programming