It is only used for solving inequality constrained optimization problem.
它仅用于求解不等式约束优化问题。
Automatic Test Paper is a combination of multi-objective constrained optimization problem.
智能组卷是一个多约束目标的组合优化问题。
In this paper, we consider an affine-scaling algorithm for the bound constrained optimization problem.
本文我们考虑求解边界约束优化问题的一个仿射尺度算法。
Therefore, its KKT conditions are different from those of the general equality constrained optimization problem.
转化后的问题要求其乘子是非负的，故其KKT条件与一般的等式约束优化问题不同。
Layout optimization is an NP-hard problem. It also belongs to complex nonlinear constrained optimization problem.
布局优化是NP难问题，也是复杂的非线性约束优化问题。
In this paper, the constrained optimization problem is discussed to arrive at a general perturbed gradient projection method for solution.
讨论带不等式和等式约束优化问题，提出了求解非线性规划问题的广义摄动梯度投影算法。
Nondifferentiable exact penalty functions are used to transform a constrained optimization problem into a single unconstrained optimization problem.
借助不可微精确罚函数把约束问题转化为单个无约束问题来处理。
At the mean time, the penalty function was improved by transmuting the inequality constrained optimization problem into single target optimization one.
同时为了将不等式约束优化问题转化为单目标优化问题，对惩罚函数法进行了改进。
In convex programming theory, a constrained optimization problem, by KT conditions, is usually converted into a mixed nonlinear complementarity problem.
在凸规划理论中，通过KT条件，往往将约束最优化问题归结为一个混合互补问题来求解。
The method proposed in this paper can be applied to GA for solving constrained optimization problem, to improve the application performance and the searching performance of GA.
该方法可以应用于求解约束优化问题的遗传算法，有效改善遗传算法的应用性能和搜索性能。
Based on the minimum output energy criterion, the algorithm is formulated as a constrained optimization problem inherently and is then resolved efficiently by using neural network.
这种盲检测算法基于最小平均输出能量准则，本质上是一个有约束的最优化问题。
Lagrange solution is employed to convert the constrained optimization problem and bisection method is used to reach a fast convergence in searching for the optimize Lagrange multiplier.
该算法利用拉格朗日算法将约束条件下的最优化问题进行转化，并采用对分算法加快搜索最优拉格朗日乘子的收敛速度。
Using the idea of both ant colony optimization algorithm and particle swam optimization algorithm, a continuous domains ant colony algorithm for solving constrained optimization problem was proposed.
借鉴蚁群优化算法和粒子群优化算法的思想，提出了一种用于求解约束优化问题的连续域蚁群算法。
Using the idea of both ant colony optimization algorithm and particle swam optimization algorithm, a continuous domains ant colony algorithm for solving constrained optimization problem was proposed.
借鉴蚁群优化算法和粒子群优化算法的思想，提出了一种用于求解约束优化问题的连续域蚁群算法。
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