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It is a problem with dimensions, stress as well as displacement constraints.

这是一个有尺寸、应力及位移约束的结构优化问题

This paper proposes a method with an improved distance function to solve multiresponse optimization problems in quality engineering.

提出了一种改进的马氏距离函数法来解决质量工程中的多响应优化问题

The double dogleg path method, which makes use of the information of Cauch step and Newton step, was proposed by Dennis and Mei.

既约Hesse算法是目前较流行的解决非线性等式约束优化问题的有效方法之一。

We also propose an affine scaling trust region interior point algorithm via double dogleg path for nonlinear optimization subject to bounds on variables.

本文又提供了一种基于双折线路径的非单调信赖域内点回代法,求解变量有界的约束优化问题

It transforms the solving of the domain of attraction into an iterative optimization problem and gives algorithm for this solution. It also gives the tuning algorithm for achieving desired domain of attraction.

将吸引域的求解化为迭代求解的优化问题,给出了求解算法和满足给定吸引域要求的控制器的调整方法。

Based on the stability condition, the robust stability of uncertain time-delay T-S fuzzy systems subject to actuator saturation is discussed, and the state feedback gain that maximizes the domain of attraction is designed.In chapter 5, a problem of determing stability domain of time-delay T-S fuzzy systems with input saturation is discussed.

在系统参数不确定的情况下,通过构造适当的Lyapunov-Krasovskii泛函,同样给出了该不确定系统的鲁棒稳定性条件,通过求解线性矩阵不等式形式的约束优化问题,可以得到使吸引域尽可能大的状态反馈增益。

Compared with the well-known SOS algorithms, the results show that this algorithm is far more effective to solve DOP than SOS algorithm.

通过测试典型的动态优化问题,并与经典的SOS算法进行比较,证明了算法的有效性。

We design a class of special dynamic optimization problem and propose an algorithm to solve it.

提出一种改进的基于群体的增量学习分布估计算法,利用改进的算法求解了一类特殊的动态优化问题

For complex dynamic optimization problems, it is difficult to obtain analytic solution.

新型的智能仿生算法在动态优化问题中的应用也逐渐增多。

Along with the rapid development of computer technology, artificial intelligent methods are widely applied in dynamic combinatorial optimization problems.

随着计算机技术的迅速发展,人工智能方法在动态组合优化问题中得到了广泛应用。

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