Due to its character of "uphill climbing", stochastic optimization algorithm is widely used to solve inverse problems.
因而具有“上山”性的随机类优化算法成为求解逆问题的主要数学工具。
This paper mainly presents the method of solving inverse electromagnetic problems, the improvement of the stochastic optimization algorithm and the optimal designing of outer-rotor permanent motor.
本文讨论了电磁场逆问题的求解方法，系统地进行了随机类优化算法的改进研究以及轮毂式永磁电机优化设计的应用研究。
The resolution strategy for ill-posed inverse problems encountered in science and engineering researches is put forward, based on multi-objective optimization.
针对科学和工程研究中的病态逆问题，提出了基于多目标优化的求解方法。
应用推荐