多目标过程优化综合问题为多目标混合整数非线性规划模型的求解。
This question almost solves the model of Multi-objectives Mix-integer Nonlinear Programming (MOMINLP).
电网规划是一个混合整数非线性规划问题，控制变量多、复杂程度高。
It is the typical mixed and integral non-linear planning problem that there are many control variables and the complexity is high.
为了决定最优的稳定周期性的物流运作能力计划，提出了一般性的整数非线性规划公式。
We present a general integer nonlinear programming formulation for determining an optimal stationary cyclic schedule of logistics capability.
基于此超结构，建立了全局能量集成的混合整数非线性规划模型，并用列队竞争算法进行求解。
Based on the super structure, a mixed integer non-linear programming (MINLP) model is established for total site energy integration.
实例计算结果表明列队竞争算法是求解非凸非线性规划问题和混合整数非线性规划问题的一种非常有效的算法。
Computational results indicate that LCA is a very effective algorithm to solve nonlinear programming problems and mixed-integer nonlinear programming problems.
该结构优化问题的决策变量采用了向量表示方法，建立0-1整数非线性规划模型，给出了可行解存在性的判定方法。
Expressing decision variables of the structure optimization problem in the form of vector, a 0-1 integer nonlinear programming model is presented.
汽轮机系统和锅炉系统分别构成线性混合0 - 1整数规划问题和非线性规划问题。
The steam turbine system and the boiler system construct respectively an integral linear 0-1 problem and a non-linear problem.
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。
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.
目前，无功优化方法主要有线性规划法，非线性规划法，混合整数规划法，动态规划法等传统的数学优化方法，以及人工智能优化算法。
The algorithm mostly includes the tradition math optimization means, such as linear layout, nonlinear layout, mixed integral layout means, dynamic layout means, and artificial intelligence algorithm.
目前，无功优化方法主要有线性规划法，非线性规划法，混合整数规划法，动态规划法等传统的数学优化方法，以及人工智能优化算法。
The algorithm mostly includes the tradition math optimization means, such as linear layout, nonlinear layout, mixed integral layout means, dynamic layout means, and artificial intelligence algorithm.
应用推荐