Open AccessMulticriteria optimization of a meander line with broad-side coupling by genetic algorithms
Author(s) -
Konstantin Malygin,
Alexander V. Nosov,
Roman S. Surovtsev,
Timur T. Gazizov,
Indira Y. Sagiyeva
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1679/2/022058
Subject(s) - genetic algorithm , algorithm , set (abstract data type) , heuristic , line (geometry) , similarity (geometry) , mathematics , mathematical optimization , coupling (piping) , sequence (biology) , computer science , engineering , artificial intelligence , geometry , biology , image (mathematics) , genetics , programming language , mechanical engineering
Multicriteria quality functions for the dungerous pulse splitting into a sequence of pulses of smaller amplitude were formulated. The optimization was performed by simple genetic algorithm using these functions. As a result, 3 sets of optimal parameters providing the given criteria were obtained. Comparison of the results of the heuristic search and genetic algorithm showed their similarity. As a result of the genetic algorithm optimization in accordance with the formulated criteria, the attenuation (times) achieved 2.5 for the set of parameters one, 3.3 – for set two, and 3.42 – for set three.