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.
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.
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.
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).
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.
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.
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