Evolutionary algorithm-based multi-criteria optimization of triboelectrostatic separator

Machine learning approach to chance-constrained problems: An algorithm based on the stochastic gradient descent

“…Thus, the decision variable is only u and x(u) can be considered as the state variable. Then, problem (22) fits into setting (8) and we may apply Algorithm 3.3 to solve it. The derivates are computed via the backpropagation technique described in Appendix D. We would like to note that since x t does not depend on p t , these random variables are independent.…”

“…Thus, we have Ep t u t x t = u t Ep t Ex t and the prices p t , d t and c t may be replaced by their expectations. Here, we keep the original more complex problem (22) to simulate the situation where our algorithm is applied in a brute force manner. We comment more on this in Appendix E.…”

“…There were several attempts to optimize the shape of the free-fall separator [22]. Here, we consider the simplified version with parallel electrodes.…”

Principal Factors of Contact Charging of Minerals for a Successful Triboelectrostatic Separation Process – a Review

“…In this case, electrodes have to be electrically isolated from the stream of charged particles preventing discharging/ charging of particles by contact with the attracting electrode. In general, electrically isolated electrodes are a good practice, which hinders the particles to change their charged state when they come in contact with the electrodes [26], (own observations).…”

“…So far, only a few authors have simulated free-fall processes [26,43] or the behavior of granular systems during charging [44][45][46].…”