对一有界约束非线性混合整数规划问题进行了研究。
The problem of bounded nonlinear mixed integer programming is studied.
最后通过解决非线性混合整数规划，完成系统的优化管理。
Finally, the optimization of system management would be completed through solving nonlinear mixed integer programming.
该问题可以归纳为一个典型的大规模非线性混合整数规划问题。
It can be summed up as a typical large-scale nonlinear mixed-integer programming problem.
配电网络规划属于非线性混合整数规划问题，应用传统数学优化算法往往难以直接求解。
Distribution network planning is a nonlinear mixed integer program problem which is usually difficult to be solved by conventional optimization algorithm.
该模型属非线性混合整数规划问题，采用神经网络方法求解，并给出了计算机软件算法框图。
This model is nonlinear mixed integer programming and can be solved with neural network method and the chart of computer calculation process is also given.
结合混沌变量的随机遍历特性，将混沌优化算法应用于输电网非线性混合整数规划模型的优化求解。
Given the stochastic and ergodic characteristics of fuzzy variables, a chaos optimization algorithm is introduced to solve the planning problem.
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.
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).
介绍原油优选模型中的非线性递归模型和混合整数规划模型技术。
Multi-period mixed integer linear programming model and applications for crude selection;
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.
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.
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.
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.
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.
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.
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