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COP optm Optimal coefficient of performance.
Then, an intuitive approach to choose an optimal coefficient of damping feedback K C is proposed.
Furthermore, the performed study allows to define a new optimal coefficient of performance (COP optm) more generalized.
By Eq. (20), we can see that a high optimal coefficient of performance COP optm corresponds to a heating of shorter time t h.
In addition, a new optimal coefficient of performance, COP optm, is proposed to determine the number of adsorbers to be added to a machine.
The optimal coefficient of performance (COP), specific cooling power (SCP) and cooling capacity of this prototype are 0.197, 205.2 W kg−1 and 1.64 kW, respectively.
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This paper applied a novel global meta-heuristic optimization algorithm, cuckoo search algorithm (CSA) to determine optimal coefficients of a fractional delay-infinite impulse response (FD-IIR) filter and trying to meet the ideal frequency response characteristics.
In this paper, a new meta-heuristic optimization algorithm, called cuckoo search algorithm (CSA) is applied to determine the optimal coefficients of the finite impulse response-fractional order differentiator (FIR-FOD) problem.
Equations (26) and (27) provide the optimal coefficients of a Bayesian filter and the corresponding covariance.
Optimal coefficients of the transfer function of the controller are obtained by minimizing the cost function.
A hybrid genetic algorithm-pattern search tool was then employed to find the optimal coefficients of this formula.
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