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Multi-objective Optimization of Actuator Geometry Based on Genetic Algorithm

Citace: KROPÍK, P., ŠROUBOVÁ, L., HAMAR, R. Multi-objective Optimization of Actuator Geometry Based on Genetic Algorithm. In IC-SPETO 2013 : XXXVI miedzynarodowa konferencja z podstaw elektrotechniki i teorii obwodów. Gliwice: Politechnika Slaska, 2013. s. 71-72. ISBN: 978-83-85940-35-7
Druh: STAŤ VE SBORNÍKU
Jazyk publikace: eng
Anglický název: Multi-objective Optimization of Actuator Geometry Based on Genetic Algorithm
Rok vydání: 2013
Místo konání: Gliwice
Název zdroje: Politechnika Slaska
Autoři: Ing. Petr Kropík Ph.D. , Ing. Lenka Šroubová , Ing. Roman Hamar Ph.D.
Abstrakt EN: An electromagnetic actuator with nonlinear structural parts is modeled and optimized. The aim of the optimization is to obtain the maximum possible force acting on the core at its smallest possible dimensions and to avoid too hard a collision of the core with the front end of the shell. The presented paper deals with using genetic algorithm for a multi-objective optimization providing the flattest possible static characteristic. The methodology is illustrated by a typical example.
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