A new combined optimization method is proposed. A preliminary optimization result is obtained by genetic algorithm, and then a secondary optimization is performed by direct search algorithm. This not only highlights the global optimization characteristics of genetic algorithm, but also avoids the small random fluctuations when it is close to the optimal solution.
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