The optimization result of multi-peak value function shows that the algorithm presented can solve premature convergence problem effectively and converge to the globally optimal solution.
多峰值函数优化结果表明，该算法可以有效地解决早熟收敛问题，更易达到全局最优解。
The optimization result of multi-peak value function shows that the algorithm introduced can converge to the globally optimal solution effectively.
多峰值函数优化结果表明，该算法能更有效地达到全局最优解。
And then a simple effective algorithm for the VQBP is proposed based on the relationship between the optimal solutions of the two value-type bilevel programming problems.
然后根据两个双层规划的最优解和最优目标值之间的关系，提出一种简单有效的算法来解决非增值型凸二次双层规划间题。
Value function consists of metallurgical criteria and equipment constraints, the IPSO algorithm applies for optimal of the secondary cooling system aiming at minimize value function.
由冶金准则及设备约束条件设计优化算法的价值函数，用改进粒子群优化算法以价值函数值最小化为目标，对二冷区各段的水量进行优化。
The test results show that the control algorithm can effectively improve the stability of the vehicle, and the slip ratio is better and is controlled near the optimal value of 0.2.
测试结果表明：该控制算法能有效提高汽车稳定性，使滑移率较好地控制在最佳值0.2附近，具有更好的鲁棒性和自适应能力。
A projection subgradient algorithm for the Lagrangian dual problem of the relaxed quadratic problem is employed to general lower bounds of the optimal value for the original problem.
采用椭球剖分策略剖分可行域为小的椭球，用投影次梯度算法解松弛二次规划问题的拉格朗日对偶问题，从而获得原问题的一个下界。
Iterative TFIDF algorithm belongs to hill-climbing algorithm, it has the common problem of converging to local optimal value and sensitive to initial point.
迭代tfidf算法属于爬山算法，初始值的选取对精度影响较大，算法容易收敛到局部最优值。
A unified algorithm to the optimal filtering, smoothing and prediction is presented, and the asymptotic stability for the initial value of the algorithm is proved.
提出一种统一处理系统最优滤波、预报和平滑估计的新方法，证明了新算法的渐近稳定性。
The simulative experiment demonstrates that this new kind of mixed optimal algorithm is simple in computation, rapid in convergent speed and good in robustness of initial value.
仿真实验研究表明：这种新型混合优化算法，计算简单，收敛速度快，初值鲁棒性好。
Traditional K-Means algorithm is sensitive to the initial centers and easy to get stuck at locally optimal value.
传统K均值算法对初始聚类中心敏感，聚类结果随不同的初始输入而波动，容易陷入局部最优值。
The imitation of computer proves that BP G S algorithm may decrease learning time in the whole. The effect is obvious especially when the error value is near to the optimal point.
文章最后的计算机仿真说明BPGS总体上可以减少学习的时间，尤其当误差值逼近最小点时效果明显。
The imitation of computer proves that BP G S algorithm may decrease learning time in the whole. The effect is obvious especially when the error value is near to the optimal point.
文章最后的计算机仿真说明BPGS总体上可以减少学习的时间，尤其当误差值逼近最小点时效果明显。
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