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Aerodynamic shape optimization of aerofoils using efficient orthogonal design variables is considered using a global search algorithm.
However, L-CG-MEC is based on an exact approach (ILP modelling) using a global search algorithm to browse for feasible solutions.
HHs are a novel methodology in optimization problems that constructs a solution to a given problem by means of the application of basic heuristics, evolved using a global search algorithm.
Therefore, the solutions described are found using a global search algorithm, Improving Hit-and-Run, which allows the design variables to be either continuous or discrete with a user-specified discretization interval.
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This suggests a hybrid approach, which uses a global search algorithm for the initial phase--during which descent curves are steep--and switches to a local search method once the descent curve has begun to flatten out.
The analysis is focused on the identification of limit cycle flow oscillations in the TALL-3D facility main heater leg using a global optimum search tool GA-NPO to find a general region in the parameter space where oscillatory behavior is expected.
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In the proposed algorithm, a genetic search algorithm is used as a global search method to explore the search space as much as possible, and a modified simulated annealing search algorithm is used as a local search method to exploit information in the search region.
A genetic algorithm is used as a global search technique for the minimisation.
The first one was used as a global search method and the second one as a local search method.
A genetic algorithm is used as a global search technique for the maximization of natural frequency with an equilibrium constraint.
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