Sequential quadratic programming method was used, and optimal Pareto set with different weight values were obtained. 采用序列二次规划法对模型进行了优化求解,得到了不同权重值时的多目标优化解集。
In this paper, cubic spline theory and sequential quadratic programming are used for optimizing the initial reference path. 在粗略最短路径的基础上,应用三次样条曲线和序列二次规划的方法求解最优路径。
Finally, to obtain the optimal guidance law effectively and reliably, a hybrid method combining genetic algorithm with sequential quadratic programming was used to optimize the weight values. 最后为高效可靠地获得最优制导律,采用一种遗传算法和逐次二次规划相结合的混合方法对权重进行了优化。
Based on this technique and the sequential quadratic programming ( SQP ) method, a new active set filter SQP method is proposed in which the penalty function is not required by filter strategy. 基于此策略,结合序列二次规划(SQP)方法,并利用滤子以避免罚函数的使用,提出了一类积极集SQP滤子方法,并在合理条件下证明了算法的全局收敛性。
Based on the fitting results and its inner law, the calculating efficiency in optimizing the reactor is increased via applying the sequential quadratic programming ( SQP ) method. 基于其内部规律,结合拟合结果,应用序列二次规划法(SQP)对电抗器进行优化,提高了优化计算效率。