Graph representations in genetic programming

Graph representations promise several desirable properties for genetic programming (GP); multiple-output programs, natural representations of code reuse and, in many cases, an innate mechanism for neutral drift. Each graph GP technique provides a program representation, genetic operators and overarc...

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Veröffentlicht in:	Genetic programming and evolvable machines Jg. 22; H. 4; S. 607 - 636
Hauptverfasser:	Françoso Dal Piccol Sotto, Léo, Kaufmann, Paul, Atkinson, Timothy, Kalkreuth, Roman, Porto Basgalupp, Márcio
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Springer US 01.12.2021 Springer Nature B.V
Schlagworte:	Artificial Intelligence Biomedical Engineering and Bioengineering Cartesian coordinates Code reuse Compilers Computer Science Configuration management Digital electronics Electrical Engineering Evolutionary algorithms Genetic algorithms Graph representations Graphical representations Interpreters Optimization Programming Programming Languages Programming Techniques Software Engineering/Programming and Operating Systems Special Issue: Highlights of Genetic Programming 2020 Events Cartesian genetic programming Evolving graphs by graph programming Directed acyclic graph Linear genetic programming
ISSN:	1389-2576, 1573-7632
Online-Zugang:	Volltext
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