对于有时间窗的非满载VSP问题，将货运量约束和软时间窗约束转化为目标约束，建立了非满载VSP模型，设计了基于自然数编码，使用最大保留交叉、改进的反转变异等技术的遗传算法。
On the VSP with time window, while the restraints of capacity and time windows are changed into object restraints, a mathematic model is established.
采用支持向量回归在线辨识算法作为建模方法建立被控对象的逆模型。
Online identification algorithm of support vector regression is used to build the inverse model for the plant.
本构模型的建立和积分算法的选择是umat子程序开发中的核心问题。
Establishing a constitutive model and choosing an integral algorithmic method are the crucial matters for developing UMAT subroutine.
应用推荐