笔者提出了多杂质WWRN的有效优化设计方法,建立了多杂质WWRN的混合整数非线性规划(MINLP,Mixed integer nonlinear programming)超结构模型.由于MINLP问题求解困难,因此采用了自适应模拟退火遗传算法进行求解.
基于2个网页-相关网页
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.
应用推荐