Robust Parameter Design for Cyclone System Based on Dual-Response Surface Method and Multiobjective Genetic Algorithm | Zendy

Luo Fusheng | Zendy; Xianhui Yin | Zendy; Zhanwen Niu | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Robust Parameter Design for Cyclone System Based on Dual-Response Surface Method and Multiobjective Genetic Algorithm

Author(s) -

Luo Fusheng,

Xianhui Yin,

Zhanwen Niu

Publication year - 2022

Publication title -

computational intelligence and neuroscience

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.605

H-Index - 52

eISSN - 1687-5273

pISSN - 1687-5265

DOI - 10.1155/2022/5884868

Subject(s) - response surface methodology , genetic algorithm , computer science , mathematical optimization , polynomial , transformation (genetics) , quality (philosophy) , function (biology) , optimal design , algorithm , multi objective optimization , dual (grammatical number) , table (database) , mathematics , data mining , philosophy , epistemology , machine learning , evolutionary biology , biology , gene , art , literature , mathematical analysis , biochemistry , chemistry

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research