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Using detuning principle and RSM optimisation technique an optimised number of connecting bolts can be identified.
In this paper, a topology optimisation technique is presented and employed to simultaneously optimise these design variables.
These updating parameters are then evaluated by an iterative or a direct solution procedure, which gives optimised solutions in the least squares sense without requiring an optimisation technique.
A derivative free optimisation technique based on Invasive Weed Optimisation (IWO) is utilised to optimise the parameters of the controllers in the system.
The optimisation technique assumes equi-partition of modal energy.
Secondly, an optimisation technique based on genetic algorithms is implemented.
An optimisation technique is used to provide the most effective parameters of the applied loads.
Probabilistic slope stability analysis typically requires an optimisation technique to locate the most probable slip surface.
The modified simplex optimisation technique was then applied on the ranked experiments.
A stochastic optimisation technique based on simulated annealing is employed to obtain optimal solutions.
These results are used to show the advantages and disadvantages of each optimisation technique.
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