Genetic Programming Theory and Practice XIX

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 interes...

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Ente Autore: SpringerLink (Online service)
Altri autori: Trujillo, Leonardo (Redattore), Winkler, Stephan M. (Redattore), Silva, Sara (Redattore), Banzhaf, Wolfgang (Redattore)
Natura: Elettronico eBook
Lingua:inglese
Pubblicazione: Singapore : Springer Nature Singapore : Imprint: Springer, 2023.
Edizione:1st ed. 2023.
Serie:Genetic and Evolutionary Computation,
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Accesso online:https://doi.org/10.1007/978-981-19-8460-0
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Riassunto: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.
Descrizione fisica:XIV, 262 p. 104 illus., 93 illus. in color. online resource.
ISBN:9789811984600
ISSN:1932-0175
DOI:10.1007/978-981-19-8460-0