电子电路的优化设计是非线性约束优化问题。
The Optimal design of electronic circuits is a problem of constrained optimization.
布局优化是NP难问题，也是复杂的非线性约束优化问题。
Layout optimization is an NP-hard problem. It also belongs to complex nonlinear constrained optimization problem.
将基于格雷码的遗传算法用于求解结构的混合离散变量非线性约束优化问题。
The genetic algorithms, which is based on Gray code, is applied to structure design optimization with mixed discrete variables and nonlinear constraint.
基于混沌神经网络模型可以有效地解决高维、离散、非凸的非线性约束优化问题。
The Chaotic neural network model can be used to solve many multi-dimensioned, discrete, non-convex, nonlinear constrained optimization problems.
传统优化算法对于解决平面四杆机构函数综合等复杂非线性约束优化问题存在局部收敛等不足。
Traditional optimizations have disadvantages such as local convergence, when they are used to solve function synthesis of planar 4-bar linkage, which is a complex nonlinear constraint problem.
为克服现有方法求解复杂水火电力系统短期发电优化计划的缺陷，提出一种新型优化算法对此类动态非线性约束优化问题进行求解。
The goal of this research is to overcome the limitations of the existing method of solving the short-term generation optimal scheduling in hydrothermal power systems.
配电网重构是一个多目标、 多约束、离散的非线性组合优化问题。
Distribution network reconfiguration is a multi - objective , multi - constraint, discrete nonlinear combinatory optimization problem.
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。
Optimization mathematical model of special transformer electromagnetism parameters is a nonlinear programming problem with equality and inequality constraints, to meet some certain design objective.
本文介绍把受约束非线性规划方法应用于热力设备最优化设计中进行初次试验的一些结果。
In this paper, some results of a trial applying the constrained nonlinear programming method in optimal design of thermal equipments are presented.
在本文中，我们考虑非线性不等式约束优化问题。
In this paper, we consider the nonlinear inequality constrained optimization problems.
提出了一种在互联电力系统中考虑信息结构约束条件下协调设计非线性优化励磁控制的方法。
This paper proposes an approach to coordinated design of nonlinear optimal excitation control under information structure constraint in interconnected power systems.
区间分析中的区间优化方法适用于求解有约束的非线性规划问题，而大多数的水库优化调度模型就是属于这类问题。
Interval optimization in interval analysis is proper to solve nonlinear programming problems with restrictions, which most of the reservoir optimal dispatching models belong to.
使用仿射变换内点回代技术的信赖域子空间算法解线性不等式约束的非线性优化问题。
We present an affine scaling trust region algorithm with interior back - tracking and subspace techniques for nonlinear optimizations subject to linear inequality constraints.
把这个实际问题，归结为含有等式与不等式约束的非线性优化问题。
This actual problem is considered as a nonlinear optimal problem with equality and inequality constraint.
平面选址问题实质上是带约束的非线性连续函数优化问题。
The essential of planar location issue is nonlinear continuous function optimization under constrained condition.
并将此模型巧妙地转化成了约束非线性规划问题，可采用多种优化方法求解。
It is transformed ingeniously into a non-linear programming problem with constraints which can be solved by many optimal methods.
针对非线性约束问题，提出了一种新的、可行的混沌优化算法。
A new, feasible chaos optimization algorithm is presented to nonlinear constrained programming problem.
通过变换可将该无约束优化问题转化为求解非线性代数方程组的问题。
This unconstrained optimization problem may be transformed into nonlinear algebraic system of equations.
讨论了非线性不等式和等式约束优化问题在退化情形下的求解方法。
This paper discusses optimization with nonlinear equality and inequality constraints under degeneracy.
应用非线性无约束的优化技术，结合有限元计算，得到良好的优化设计。
Combining the nonrestrictive and nonlinear optimizing method with the finite element analysis, the optimum design can be obtained.
用序列无约束极小化方法（SUMT）求解非线性有约束的优化问题。
The non linear optimization problem with constraint has been solved by use of the sequential unconstrained minimization technique (SUMT).
对于一般的无约束最优化问题及其特殊情况非线性最小二乘问题而言，信赖域方法是一种有效的方法。
Trust region method is a kind of efficient methods to solve the general unconstrained optimization and its special situation, the nonlinear least squares problems.
对于一般的无约束最优化问题及其特殊情况非线性最小二乘问题而言，信赖域方法是一种有效的方法。
Trust region method is a kind of efficient methods to solve the general unconstrained optimization and its special situation, the nonlinear least squares problems.
应用推荐