基于NSGA-Ⅱ算法的区域覆盖卫星星座优化将一种基于Pareto最优概念的快速非支配排序遗传算法(NSGA-Ⅱ)引入区域覆盖侦察卫星星座的多目标优化设计-Algorithm based on NSGA-Ⅱ regional coverage satellite constellation will be based on the concept of Pareto optimal fast non-dominated sorting genetic algorithm (NSGA-Ⅱ) the

关于资源受限项目调度的遗传算法文章，使用NSGA2算法。-The article about the resource-constrained project scheduling genetic algorithm, using NSGA2 algorithm.

构建了含VSC-HVDC的交直流系统多目标最优潮流模型；针对此模型连续变量和离散变量共存的特点，提出了内点法和NSGA2算法相结合的交替求解算法，可获得多个Pareto最优解，并具有较高的计算效率(Considering the coexistence of continuous and discrete variables in this model,an alternative solution method based on the interior point method and NS