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Evolutionary algorithm-based multi-criteria optimization of triboelectrostatic separator

Citace: MACH, F., ADAM, L., KACEROVSKÝ, J., KARBAN, P., DOLEŽEL, I. Evolutionary algorithm-based multi-criteria optimization of triboelectrostatic separator. Journal of Computational and Applied Mathematics, 2014, roč. 270, č. 9583, s. 134-142. ISSN: 0377-0427
Druh: ČLÁNEK
Jazyk publikace: eng
Anglický název: Evolutionary algorithm-based multi-criteria optimization of triboelectrostatic separator
Rok vydání: 2014
Autoři: Ing. František Mach , Mgr. Lukáš Adam , Ing. Jan Kacerovský , Doc. Ing. Pavel Karban Ph.D. , Prof. Ing. Ivo Doležel CSc.
Abstrakt EN: A device for electrostatic separation of triboelectrically charged plastic particles is modeled and optimized. Electric field in the system is solved numerically by a fully adaptive higher-order finite element method. The movement of particles in the device is determined by an adaptive Runge?Kutta?Fehlberg algorithm. The shape optimization of the electrodes is carried out by a technique based on genetic algorithm NSGA-II and also on simulated annealing.
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