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Herein, the simulation is solved using the NSGA-II method.
Specifically, a non-linear analytical rotor casing rub interaction simulation is solved.
The simulation is solved numerically in three dimensions using finite-element analysis for a steady-state system.
The large eddy simulation is solved with the Smagorinski model (sub-grid scale) that uses a second-order scheme for the convective terms in the equations of moment and a second-order centered difference scheme for diffusive terms [34].
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The overall simulation model is solved by the global Newton-Raphson method.
For the given set of first-stage decision variables, a multi-objective robust optimization problem, based on an integrated business and engineering simulation model, is solved to obtain the values for a set of second-stage decision variables.
Two interesting physical problems, namely, the double-valued ω ψ structure in two-dimensional decaying turbulence and the collapse of the bubble cap in the Boussinesq simulation, are solved by using the proposed parallel algorithms.
Wong and Ho [9] consider a competitive setting, where the IM and the TOs negotiate on the access fees and service requests, accounting learning techniques that allow for improving the resulting scheduling after several rounds; the model is solved via simulation.
The appropriate boundary conditions were constrained in the corresponding numeric model and the combustion simulations were solved using 3D Navier-Stokes equation.
The 3D steady Reynolds-averaged Navier-Stokes (RANS) simulations are solved, first for a single block of the district, then for the whole district.
The numerical simulations were solved explicitly, and included either the impact loading environment a hybrid impactor with an initial velocity or the UNDEX loading environment a plane shock wave applied to the surface of the target structure.
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