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 bibliografie

Vydáno v:	Genetic programming and evolvable machines Ročník 16; číslo 2; s. 133 - 150
Hlavní autoři:	Yazdani, Samaneh, Shanbehzadeh, Jamshid
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Boston Springer US 01.06.2015
Témata:	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 přístup:	Získat plný text
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!