Evolutionary algorithm-based multi-criteria optimization of triboelectrostatic separator

نویسندگان

  • Frantisek Mach
  • Lukás Adam
  • Jan Kacerovský
  • Pavel Karban
  • Ivo Dolezel
چکیده

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 method. 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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عنوان ژورنال:
  • J. Computational Applied Mathematics

دوره 270  شماره 

صفحات  -

تاریخ انتشار 2014