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The DDS algorithm is a simple, stochastic, single-solution-based, heuristic, global search algorithm that was developed for the purpose of finding a good globally optimal solution within a specified maximum number of function evaluation limit [35, 36, 37, 38].
The Tabu Search [11] is a heuristic global search algorithm.
It is a global search algorithm thus avoids a local minimum.
Exhaustiveness of the global search algorithm was set to be 100.
Aerodynamic shape optimization of aerofoils using efficient orthogonal design variables is considered using a global search algorithm.
Direct search simulated annealing (DSA), which is a reliable global search algorithm, is used to search the optimal design.
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This has triggered great efforts to develop global search algorithms.
With the newly developed global search algorithms, flattening using ICP inner loops in registration becomes redundant.
We verified that other global search algorithms, such as DIRECT-L [22], yield similar results.
We evaluate the application of eight different global search algorithms to the optimization of oil production from a mature field.
Heuristic global search algorithms are a popular choice for performing minimization but many algorithms yield lackluster results when computational budgets are restricted, as is often required in practice.
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