Optimization with a computational fluid dynamics (CFD) simulator has gained attention in various fields recently. Optimization is hampered by the increased computing time used by many localized solutions that complicate the calculation by needing a vast amount of space for solution generation and distribution. Therefore, researchers hope to speed the process and make the analytical time highly effective. In this paper, we propose an algorithm that reaches the best solution neighborhood from a complex solution space at high speed, and obtains the best solution. We have applied the algorithm to a real problem, and it worked.

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