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In order to defining of the optimum design point, interactive fuzzy multi-objective method has been used.
We then describe our optimization, kinematics and precision criteria as well as the multi-objective method developed.
The 3D optimization technique combines a design of the experiment, a response surface method and multi-objective method.
The Pareto front (Cost vs. GHG emissions) of the system is generated using an appropriate multi-objective method.
The obtained results show the efficiency of the proposed multi-objective method to solve the SHTS problem compared to other methods recently employed.
To maximize the performance of transverse shear behavior, a multi-objective method is employed to obtain optimal designs of periodic cellular cores.
Linear controllers are first designed using a multi-objective method based on the Youla parameterization and the optimization under constraints described by linear matrix inequalities.
The results obtained in this paper are compared with the ones derived from other techniques recently used and verify the effectiveness and efficiency of the proposed multi-objective method.
The optimization tool uses a stochastic multi-objective method in order to schedule DERs and aims at minimizing the total operational costs and emissions while considering the intermittent nature of wind and solar power as well as demand forecast errors.
While all models perform consistently with respect to runoff efficiency (NSE range of 0.67 0.78), models selected using the proposed multi-objective method may incorporate more representative parameter values than those selected by traditional calibration.
The obtained results and analyses demonstrate that this multi-objective method presented in this paper operates very well in terms of convergence speed, global optimality, solution accuracy, and algorithm reliability.
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