Control constraints are discussed and the direct search algorithm is employed.
文中讨论了控制约束的加入，使用了直接搜索算法。
This paper proposes a direct search algorithm for global optimization and multi-peak searching of functions with boundary constraints.
针对边界约束函数全局最优化和多峰寻优问题，提出一种直接搜索算法。
This paper proposes an efficient new algorithm by construction of a direct discrete search direction for a class of nonlinear integer programming problems.
针对一类非线性整数规划问题，通过构造直接离散搜索方向提出了一种十分有效的新算法。
Direct search feasible direction (DSFD) is an effective algorithm for solving the constrained non-linear programming problem, however, it could only find the local optimal solution.
转轴直径搜索可行方向法(DSFD方法)是一种比较有效的求解有约束非线性规划问题的算法，但它只能得到局部最优解。
This paper presents a new leading-edge detection algorithm based on the direct correlation search, which sets on a threshold to estimate the leading edge of the correlation impulse.
在直接相关检测的基础上提出一种新的前沿检测算法，通过设定检测门限对相关峰的前沿进行检测得到时间估计。
The proposed algorithm utilizes neighborhood knowledge to direct its local search procedure which can overcome the blindness or randomness introduced by meta-heuristics.
该算法利用问题的邻域知识指导局部搜索，可克服元启发式算法随机性引起的盲目搜索。
The proposed algorithm utilizes neighborhood knowledge to direct its local search procedure which can overcome the blindness or randomness introduced by meta-heuristics.
该算法利用问题的邻域知识指导局部搜索，可克服元启发式算法随机性引起的盲目搜索。
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