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ABC algorithm has been used for computing the optimal design parameters at which system cost is minimized and results are shown to be statistically significant by means of pooled t-test with PSO results.
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Examples are presented to illustrate the procedures for computing the optimal designs.
Our experimental results demonstrate the operation of INtERCEDE and how it computes the optimal design parameters for the example NCS.
A single objective optimisation program with four ply angle input variables was used to compute the optimal design of the ply stacking pattern which minimised the interlaminar tensile stress in composite T-joints where delamination damage is initiated.
This simple model allows explicit calculations in order to show openly the procedure to find the correlation structure, needed for computing the optimal experimental design.
The problem of computing the optimal is NP-complete.
When computing the optimal control values via Eqs.
We compute the optimal control design strategy (in terms of the competitive ratio and domination metrics) when the control designer has access to the local model information and the global interconnection structure of the plant-to-be-controlled.
To compute the optimal contract, I also design an algorithm that is more efficient than value-function iteration.
With the help of EERCS, the optimal design together with its parameters is computed using multi-objective optimization based on a meta-heuristic algorithm.
The effectiveness of the method can be appreciated by computing the efficiency of the Pareto-optimal design with respect to the optimal design ξ⋆, which is in this case.
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