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In this paper, a new bat algorithm (BA) based on dynamic control parameters selection is presented. The dynamic BA (DBA) uses a new mechanism to dynamically select the best performing combination of the pulse rate coefficient, the pulse frequency coefficient, and the population size. A fractional-order PID (FOPID) controller based on the DBA is implemented to improve the performance of a distillation...
In this paper, a dynamic control mechanism is proposed to improve the firefly algorithm’s (FA) rate of convergence and minimization of the fitness function. The dynamic FA (DFA) dynamically selects the best-performing combinations of the step size scaling factor, the attractiveness coefficient, the absorption coefficient and the population size along the complete evolution process of the algorithm...
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