Title :
Multiobjective optimization of an induction heating device using evolutionary algorithms
Author :
Petrescu, C. ; Ferariu, L.
Author_Institution :
Fac. of Electr. Eng., Energetics & Appl. Inf, Tech. Univ. of Iasi, Iaşi, Romania
Abstract :
The paper presents a GA based multiobjective optimization of an induction heating applicator for semiconductor processing. Two objectives are imposed: minimization of the power density non-uniformity in the load and maximization of the total absorbed power. The applicator is an improved version of the zone-controlled one proposed in literature, that uses partial or total shielding. A new adaptive ranking scheme is introduced in order to asses the different priorities of the two objectives.
Keywords :
genetic algorithms; induction heating; load management; minimisation; semiconductor technology; shielding; GA; adaptive ranking scheme; evolutionary algorithm; genetic algorithm; induction heating applicator; induction heating device; load minimization; multiobjective optimization; partial shielding; power density nonuniformity minimization; semiconductor processing; total absorbed power maximization; total shielding; Coils; Electromagnetic heating; Genetic algorithms; Graphite; Optimization; Sociology; Statistics; induction heating; numerical analysis of electromagnetic fields; optimization using GA;
Conference_Titel :
Electrical and Power Engineering (EPE), 2014 International Conference and Exposition on
Conference_Location :
Iasi
DOI :
10.1109/ICEPE.2014.6969905
