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In this paper, a modification to the weighted average simulation method is proposed, which allows the computation of the reliability with a small number of performance function evaluations.
It was found that the proposed approach can obtain the same results as the original weighted average simulation method with only a fraction of the computational cost required.
In addition, an approach for conducting reliability-based design optimization problems by introducing an additional improvement to the weighted average simulation method is proposed.
An efficient RBDO framework based on the hybrid weighted average simulation method (WASM) and DQM together with the particle swarm optimization (PSO) method is then presented for design optimization of the FGCSs.
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The porosity distribution model is built on the basis of porosity curves after averaging using the random simulation method according to SGS algorithms and references the facies distribution model.
The average achievable sum rate and the average achievable rate per user are determined using the Monte Carlo simulation method.
Monte Carlo simulation method was used to calculate network average delay and throughput.
The simulation method we used to do model averaging was Efron's bootstrapping method [ 29, 30].
The proposed simplified modeling is developed using the state-space averaging technique and is implemented in the MATLAB/Simulink environment using the phasor simulation method.
The simple average of benefits (including premature mortality) across the 3 years is $5.7 billion9090% CI, 0.6 15.0) for the quadratic rollback simulation method and $4.9 billion9090% CI, 0.5 14.0) for the percentage rollback simulation method.
Average simulation data for any outer-size L – here ranging from 24 to 192 – is shown to scale nicely by this method, throughout the entire damage process.
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