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。
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。
This article gives a solution to the programming 0-1 problem whose objective function is a nonlinear function, by applying weighted bipartite graph and perfect matching.
本文对一种目标函数为非线性函数的0—1规划问题提出了一种运用赋权偶图及完美对集的求解方法。
Presents a special nonlinear programming problems, its objective function contains absolute value symbol, this kind of problem can be transformed to the solution of a linear programming problems.
给出了一类特殊的非线性规划问题，其目标函数中带有绝对值符号，这类问题可以转化为线性规划问题来求解。
The nonlinear programming problem that the constraint perturbation attains minimum under the condition when the objective function makes its optimal perturbation is considered.
考虑当目标函数在约束条件下的最优值作扰动时，使各约束作极小扰动的非线性规划问题。
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。
This formulation results in a large scale 0-1 programming problem with nonlinear objective function and linear or nonlinear constraints.
该数学表达式表现为一个具有非线性目标函数及线性与非线性约束条件的大规模0 - 1规划问题。
The Contraction expansion algorithm was improved by greatly reducing visiting objective function, so it could solve the large scale, integer and combined constrained nonlinear programming.
将缩张算法加以改进，较大程度地减少目标函数的访问次数，既可运用到规模和难度较大的约束非线性规划问题，也可运用到整数及混合规划问题。
In mathematical programming, the problem in which the objective function and constraints are not all linear is called nonlinear programming.
在数学规划中，当问题的目标函数和约束条件并非均为线性时，该问题即称为非线性规划。
Mathematical models that use linear, nonlinear, dynamic, integer, or multi-objective programming algorithms.
数学模型，如利用线性、非线性、动态、整数或多目标编程算法。
Secondly, multi-objective optimization problem is reformulated into a nonlinear single-objective programming problem by means of fuzzy satisfaction-maximizing method.
采用最大模糊满意度法将多目标优化问题转化为单目标非线性规划问题；
The result shows that the single-objective nonlinear programming model has more practical applicable value.
结果表明，单目标非线性规划模型具备较强实用价值。
The result shows that the single-objective nonlinear programming model has more practical applicable value.
结果表明，单目标非线性规划模型具备较强实用价值。
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