Genetic Programming Theory and Practice XXI

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Éditeur :

Springer


Collection :

Genetic and Evolutionary Computation

Paru le : 2025-02-27

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Description

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.
Pages
417 pages
Collection
Genetic and Evolutionary Computation
Parution
2025-02-27
Marque
Springer
EAN papier
9789819600762
EAN PDF
9789819600779

Informations sur l'ebook
Nombre pages copiables
4
Nombre pages imprimables
41
Taille du fichier
31345 Ko
Prix
179,34 €
EAN EPUB
9789819600779

Informations sur l'ebook
Nombre pages copiables
4
Nombre pages imprimables
41
Taille du fichier
70779 Ko
Prix
179,34 €