Method for retrieving the optimal value of the objective functionBernhard Pfaff
9. The optimal value of the input power, which should be carefully chosen due to the interaction among nonlinearity, fiber loss and the noise, was found to optimize the performance of the optic fiber transmission system. 由于非线性效应、传输损耗及噪声的综合影响,应当选取合适的入纤功率以使得系统...
Dehghan52 considered the shifted Legendre polynomials for class of variable order fractional functional boundary value problems. In this work, an optimization method based on the generalized shifted Legendre polynomials (GSLP), operational matrix of derivatives and Lagrange multipliers is proposed for ...
Also, the voltage value at the ith network bus is considered by the letter \({V}_{i}\). Voltage deviation (V.D.) In the considered OPF objective function, the V.D. value for the developed energy networks is determined as indicated in Eq. (20)9,10. $${F}_{obj5}=VD=\sum_{i...
If \( D\left(u,X\right)\) is not included in the objective function, there will be no marginal cost of land conversion to health in the first-order condition (Eq. 5). The decision regarding land conversion activity hinges on achieving a balance between the value marginal product of conve...
Concluding this section’s analysis, let us underline that (IPC c ) algorithm for cell c∈ C takes as input any p ¯ var and obtains (a) the corresponding p ¯ * c , as analyzed in “Treating IPC” section, as well as (b) the optimal objective value of (ICPc), U c * p ...
When there is one destination or multiple destinations and the paths do not overlap, all cells along the paths will contain the same value. If there are multiple destinations and the paths converge, each cell will record the number of paths that pass through that cell. The output from ...
The concentricity is maximized only when the accuracy in the reported outbreaks is maximized that is equivalent to the maximum of the value of information (Section “Value of information and Pareto optimization”) considering any uncertainty source in outbreak patterns, supply chain and disease ...
Case 2 explores the performance of the four algorithms with RES generation uncertainty. In case 2, the GWO managed to achieve the best objective function value, followed by SHO, WOA and ZO as recorded in Table9such that the loss reduction was 55.3%, 53.3%, 51.5% and 38.5% respectively. ...
where \(\overrightarrow{f}\) is the vector-valued objective function. For each Pareto-optimal member, the Euclidean distance is measured from the closest member in the previous Pareto Front. The objective functions were normalised by their mean value across all individuals from the first 20 gene...