Evolutionary algorithm-based multi-criteria optimization of triboelectrostatic separator

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Abstract

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. © 2014 Elsevier B.V. All rights reserved.

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Mach, F., Adam, L., Kacerovský, J., Karban, P., & Doležel, I. (2014). Evolutionary algorithm-based multi-criteria optimization of triboelectrostatic separator. Journal of Computational and Applied Mathematics, 270, 134–142. https://doi.org/10.1016/j.cam.2014.02.009

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