Balanced Cartesian Genetic Programming via migration and opposition-based learning: application to symbolic regression

The exploration–exploitation trade-off is an important aspect of evolutionary algorithms which determines the efficiency and accuracy of these algorithms. Cartesian Genetic Programming (CGP) is a generalization of the graph based genetic programming. It is implemented with mutation only and does not...

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Veröffentlicht in:	Genetic programming and evolvable machines Jg. 16; H. 2; S. 133 - 150
Hauptverfasser:	Yazdani, Samaneh, Shanbehzadeh, Jamshid
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Boston Springer US 01.06.2015
Schlagworte:	Artificial Intelligence Biomedical Engineering and Bioengineering Compilers Computer Science Electrical Engineering Interpreters Programming Languages Programming Techniques Software Engineering/Programming and Operating Systems Exploration–exploitation trading-off Biogeography-based optimization Cartesian Genetic Programming Opposition-based learning Migration
ISSN:	1389-2576, 1573-7632
Online-Zugang:	Volltext
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