Optimization methods, the theory and algorithm of solving optimization problems, can be divided into two parts, the traditional optimization algorithms and intelligent optimization algorithms.
最优化方法是解决最优化问题的理论和算法，主要包括传统优化算法和智能优化算法两大类。
Colony evolution based intelligent optimization algorithms have deficiencies of poor computational efficiency and are prone to premature during the solution process.
基于群体进化的智能优化算法在求解过程中存在计算效率低和易于早熟收敛等缺点。
To solve the above problems, this paper adopts intelligent optimization algorithms to search for the optimal threshold, aiming to maximize the efficiency and accuracy.
为了解决以上问题，本文采用智能优化算法来搜寻最优阈值，旨在最大限度地提高寻优效率和寻优精度。
To solve the above problems, this paper adopts intelligent optimization algorithms to search for the optimal threshold, aiming to maximize the efficiency and accuracy.
为了解决以上问题，本文采用智能优化算法来搜寻最优阈值，旨在最大限度地提高寻优效率和寻优精度。
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