1.It used to solve the problem that Particle Swarm Optimization(PSO) easily falls into a local extremum.
克服了经典粒子群算法中参数选择问题以及粒子群算法易陷入局部极值问题。
2.Meanwhile, the differences between the conditional extremum and unconditional extremum in concept and evaluation are pointed.
同时还指出了条件极值和无条件极值在概念上及求法上的一些区别。
3.The conclusion can be drawn that the optimal heat transfer performance of PHP can be achieved by solving for extremum of regression model.
通过求解回归极值，可以对模型在给定工况下进行优化，从而获得脉动热管的最佳传热性能。
4.Particle Swarm Optimization (PSO) algorithm is a powerful method to find the extremum of a continuous numerical function.
微粒群优化算法是求解连续函数极值的一个有效方法。
5.Due to its ability to calculate the extremum , the semi singular value decomposition will be more useful in many applications.
因为该算法有求极值的能力，所以它将在应用领域中发挥更大的作用。
6.drawing on the experience of genetic algorithm (GA), the possibility that the algorithm falls into local extremum is decreased.
借鉴遗传算法中的变异操作增加了粒子的多样性，减小了算法陷入局部极值的可能。
7.Multiscale boundary detection is equivalent to searching out the local extremum of wavelet transform modulo of image.
多尺度边缘检测等价于寻找图像的小波变换模局部极值。
8.Furthermore, the definition and equivalence condition of extremum in the semi-uniform spaces is given by the partial order.
给出半一致空间上极值的定义和等价条件；
9.If some particles trended to local extremum in PSO algorithm implementation, the particle velocity was updated and re-initialized.
在PSO算法的运行过程中，对有集聚倾向的粒子进行速度变异处理，重新初始化速度。
10.A mathematical problem have extrema, and in what point is to solve obtain extremum extremum problems of the key.
一个数学问题有没有极值，以及在什么点上取得极值，是解决极值问题的关键。