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...

Celý popis

Podrobná bibliografia

Vydané v:	Genetic programming and evolvable machines Ročník 16; číslo 2; s. 133 - 150
Hlavní autori:	Yazdani, Samaneh, Shanbehzadeh, Jamshid
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Boston Springer US 01.06.2015
Predmet:	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
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!