书目名称 | Genetic Programming Theory and Practice XX |
编辑 | Stephan Winkler,Leonardo Trujillo,Ting Hu |
视频video | |
概述 | Explores the intersection of GP and evolutionary computation, with machine learning and deep learning methods.Provides a unique combination of theoretical contributions and state-of-the-art real-world |
丛书名称 | Genetic and Evolutionary Computation |
图书封面 |  |
描述 | .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 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.. |
出版日期 | Book 2024 |
关键词 | Genetic Programming; Genetic Programming Applications; Model Discovery; Ethics in Computer Science; Symb |
版次 | 1 |
doi | https://doi.org/10.1007/978-981-99-8413-8 |
isbn_softcover | 978-981-99-8415-2 |
isbn_ebook | 978-981-99-8413-8Series ISSN 1932-0167 Series E-ISSN 1932-0175 |
issn_series | 1932-0167 |
copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor |