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Genetic programming theory and pract...
~
Trujillo, Leonardo.
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Genetic programming theory and practice XIX
Record Type:
Electronic resources : Monograph/item
Title/Author:
Genetic programming theory and practice XIX/ edited by Leonardo Trujillo ... [et al.].
remainder title:
Genetic programming theory and practice 19
other author:
Trujillo, Leonardo.
Published:
Singapore :Springer Nature Singapore : : 2023.,
Description:
xiv, 262 p. :ill. (chiefly col.), digital ;24 cm.
Contained By:
Springer Nature eBook
Subject:
Genetic programming (Computer science) -
Online resource:
https://doi.org/10.1007/978-981-19-8460-0
ISBN:
9789811984600
Genetic programming theory and practice XIX
Genetic programming theory and practice XIX
[electronic resource] /Genetic programming theory and practice 19edited by Leonardo Trujillo ... [et al.]. - Singapore :Springer Nature Singapore :2023. - xiv, 262 p. :ill. (chiefly col.), digital ;24 cm. - Genetic and evolutionary computation,1932-0175. - Genetic and evolutionary computation..
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.
ISBN: 9789811984600
Standard No.: 10.1007/978-981-19-8460-0doiSubjects--Topical Terms:
572479
Genetic programming (Computer science)
LC Class. No.: QA76.623
Dewey Class. No.: 006.31
Genetic programming theory and practice XIX
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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.
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Computer Science (SpringerNature-11645)
based on 0 review(s)
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電子資源
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1 records • Pages 1 •
1
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Attachments
W9453188
電子資源
11.線上閱覽_V
電子書
EB QA76.623
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