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遗传算法 (GA)是一种方便好用的鲁棒全局优化算法 ;逐步宽容法 (ST)是一种物理概念清晰、适合工程应用特点的多目标优化方法。将二者有机地结合起来 ,应用于防空导弹总体参数优化设计。实践证明 ,其寻优速度较之传统的优化算法大为提高 ,优化结果的最优可信度高。
Genetic algorithm (GA) is a kind of robust global optimization algorithm that is easy to use and use. Gradual tolerance method (ST) is a multi-objective optimization method with clear physical concept and suitable for engineering application. Combine the two organically and apply it to the optimization design of the overall parameters of air defense missiles. Practice has proved that its optimization speed is greatly improved compared with the traditional optimization algorithm, and the optimal confidence of the optimization result is high.