Genetic programming theory and practice XX / Stephan Winkler, Leonardo Trujillo, Charles Ofria, Ting Hu, editors.
"Genetic Programming Theory and Practice 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 pa...
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| Other Authors: | , , , |
| Format: | Ebook |
| Language: | English |
| Published: |
Singapore :
Springer,
[2024]
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| Series: | Genetic and evolutionary computation series
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| Subjects: | |
| Online Access: | Springer eBooks |
| Summary: | "Genetic Programming Theory and Practice 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 paper 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"--Back cover. |
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| Item Description: | The work in this book was presented at the 20th Genetic Programming Theory and Practice (GPTP) workshop held at Michigan State University in June, 2023--Preface. |
| Physical Description: | 1 online resource (xv, 336 pages). |
| Bibliography: | Includes bibliographical references and index. |