Multicriteria optimization of four-conductor modal filter by genetic algorithms

Статья в сборнике трудов конференции

Multicriteria optimization by genetic algorithms is considered. Parameters of multiconductor modal filters (MF) are optimized. Optimization with the use of a multicriteria objective function with amplitude and time criteria for matching with the characteristic impedance of 50 Ω is considered. One amplitude, two range-time and one interval-time criteria, as well as the matching criterion are used. Thus, five-criteria optimization of five parameters of the four-conductor microstrip MF was performed. The results showed the importance of multiconductor MF optimization with simultaneous use of several criteria.

Библиографическая запись: Belousov, A. O. Multicriteria optimization of four-conductor modal filter by genetic algorithms / A. O. Belousov, T. T. Gazizov, T. R. Gazizov // 2017 International multi-conference on engineering, computer and information sciences (SIBIRICON), Novosibirsk, Akademgorodok, Russia, 18–24 Sep. 2017: Сonference proceedings. – Novosibirsk: IEEE, 2017. – P. 445–448. – DOI: 10.1109/SIBIRCON.2017.8109924

Конференция:

• IEEE 2017 International multi-conference on engineering, computer and information sciences
• Россия, Новосибирская область, Новосибирск, 18-24 сентября 2017,
• Международная

Издательство:

IEEE

Россия, Новосибирская область, Новосибирск