Intelligent method has been widely used in reactive power optimization because of its superiority in solving the large-scale nonlinear programming problem.
近年来，由于在解决大规模非线性规划问题上的优势，智能算法在电力系统无功优化问题中获得广泛应用。
By using direct shooting method, the associated optimization was converted into a nonlinear programming problem, which was solved through a sequential quadratic programming solver.
利用直接打靶法，将此最优控制模型转化为非线性规划问题，并采用序列二次规划算法进行解算。
This paper considers the nonlinear programming problem of interval parameters.
讨论了区间参数非线性规划问题。
This thesis applies dynamic programming principle to solve a nonlinear programming problem.
应用动态规划原理来解决一类非线性规划问题。
The optimal model of parameters is formulated as a constrained nonlinear programming problem.
一方面，分析并建立了控制策略参数优化的有约束非线性模型；
The problem is firstly transformed into an equivalent constraint nonlinear programming problem.
首次将二次稳定性问题等价地转化为约束非线性规划问题。
Methods of feasible directions are important method of a kind of solving a nonlinear programming problem.
可行方向法是求解非线性规划问题的一类重要方法。
A new method is applied to a kind of nonlinear programming problem with monotonic functions and non-monotonic objective functions.
给出了一类约束函数单调而目标函数非单调的非线性规划问题的一种新的求解方法。
The problem can be posed as a standard nonlinear programming problem with equality constraints by means of the stepped reduction method.
利用阶梯折算法，问题可以化为一个具有等式约束的标准的非线性规划问题。
The paper studies the nonlinear programming problem with linear constraints. Based on its optimality conditions, a neural network for solving it is proposed.
研究了线性约束的非线性凸规划问题，基于最优性的充要条件，提出了求解它的一个神经网络。
Based on fully stressed criterion, a mathematical model for spring optimization design has been built. The model is a constrained nonlinear programming problem.
按满应力准则建立了弹簧优化设计的数学模型，它是一个有约束的非线性规划问题。
We first formulate the problem as a stochastic nonlinear programming problem and then propose a new simple method for solving it via some approximation techniques.
本文先把问题转化为一个随机非线性规划问题，然后用逼近技术给出一个简单的求解方法。
Owing to its special structure. the nonlinear programming problem can be considered as a multistage decision problem and solved by using dynamic programming principle.
由于所研究的非线性规划问题的特殊结构，所以可将它看成是一个多阶段决策问题，应用动态规划求解。
It is difficult to perform a design optimization of linear twodegrees of Freedom isolation system, because of that it is a nonlinear programming problem under transient impact conditions.
线性两自由度隔振器的瞬态最优设计问题是一类很难求解的非线性规划问题。
The simplex optimization method about nonlinear programming problem has been used in the mixed acid linear titration and the effect of various factors on computative speed has been discussed.
将非线性规划问题的单纯形加速法用于混合酸的线性滴定计算，同时优化酸浓度及有关条件常数，求出酸浓度的最优解。 讨论了影响单纯形法计算速度的因素。
Optimization mathematical model of special transformer electromagnetism parameters is a nonlinear programming problem with equality and inequality constraints, to meet some certain design objective.
特种变压器电磁参数的优化设计是一个带有等式和不等式约束，满足某种设计目标的非线性规划问题。
The problem of multistage design of gas turbines is formulated as a multiobjective nonlinear programming problem with the objective functions of minimum aerodynamic loss and total mass of the turbine.
将多级燃气涡轮的设计问题表述为其空气动力学损失和质量为极小化目标的多目标非线性数学规划问题。
The problem of multistage design of gas turbines is formulated as a multiobjective nonlinear programming problem with the objective functions of minimum aerodynamic loss and total mass of the turbine.
将多级燃气涡轮的设计问题表述为其空气动力学损失和质量为极小化目标的多目标非线性数学规划问题。
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