Cartesian genetic programming: its status and future

Cartesian genetic programming, a well-established method of genetic programming, is approximately 20 years old. It represents solutions to computational problems as graphs. Its genetic encoding includes explicitly redundant genes which are well-known to assist in effective evolutionary search. In th...

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Veröffentlicht in:Genetic programming and evolvable machines Jg. 21; H. 1-2; S. 129 - 168
1. Verfasser: Miller, Julian Francis
Format: Journal Article
Sprache:Englisch
Veröffentlicht: New York Springer US 01.06.2020
Springer Nature B.V
Schlagworte:
Artificial Intelligence
Biomedical Engineering and Bioengineering
Cartesian coordinates
Compilers
Computer Science
Electrical Engineering
Genetic algorithms
Interpreters
Programming
Programming Languages
Programming Techniques
Software Engineering/Programming and Operating Systems
Twentieth Anniversary Issue
Cartesian genetic programming
Genetic programming
Evolutionary algorithms
ISSN:1389-2576, 1573-7632
Online-Zugang:Volltext
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Zusammenfassung:Cartesian genetic programming, a well-established method of genetic programming, is approximately 20 years old. It represents solutions to computational problems as graphs. Its genetic encoding includes explicitly redundant genes which are well-known to assist in effective evolutionary search. In this article, we review and compare many of the important aspects of the method and findings discussed since its inception. In the process, we make many suggestions for further work which could improve the efficiency of the CGP for solving computational problems.
Bibliographie:ObjectType-Article-1
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ObjectType-Feature-2
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ISSN:1389-2576
1573-7632
DOI:10.1007/s10710-019-09360-6