Trujillo Genetic Programming Theory and Practice XIX

Genetic Programming Theory and Practice XIX

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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 Explores the intersection of genetic programming and evolutionary computation in general Discusses recent results in methodological improvements to genetic programming

Autor*in

Leonardo Trujillo

Themen in »Genetic Programming Theory and Practice XIX«

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

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Details

ISBN: 9789811984600
Verlag: Springer Singapore
Erscheinung: 11.03.2023

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