其中，差分演化算法在数值函数优化方面的性能要优于其它的优化算法。
The performance of DE algorithm is superior to other algorithm in numerical function optimization.
最后，用数值优化中的三个测试函数对该算法进行测试，仿真实验结果显示该算法可有效地提高算法的全局搜索能力。
Finally, the algorithm is tested by three test functions of numerical optimization. The emulational experiment results show that this improved algorithm has greater probability of convergence.
经典的粒子群优化算法是一个在连续的定义域内搜索数值函数极值的很有效的方法。
The classical Particle swarm optimization (PSO) algorithm is a powerful method to find the minimum of a numerical function, on a continuous definition domain.
最后，本文应用上述并行模型优化的RBF神经网络对非线性函数值以及证券个股收盘价进行预测。
At last, this paper USES the RBF neural network that was optimized by the mentioned parallel model to predict the value of some nonlinear functions and the close of several stocks.
应用数值方法，分析并讨论了热机在最大输出功率、最大效率和最大生态学函数下的优化循环性能特性。
By using numerical solution method, the optimal cycle performance characteristics of the engine at maximum power output, maximum efficiency and maximum ecological function are analyzed and discussed.
本文对于矩形区域上某一内点为奇点的奇异积分的近似计算给出了优化中心数值算法，它在迭代计算过程中避免了函数值的重复计算。
This paper presents an optimum numerical algorithm of center rule for the approximate evaluation of singular integrals over rectangular domains with a inner singularity.
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。
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.
优化问题求解的目的就是要找到使目标函数值达到最大或最小的取值条件。
The purpose is to find the conditions of the objective function's minimum or maximum.
针对七个典型的测试函数进行的对比分析表明本文提出的演化-单纯形算法是一种具有较高搜索效率的数值优化方法。
Some numerical tests are made by the seven typical test functions. Compared with other results, the searching ability of the proposed algorithm is more efficient.
我们提出了一个新的设计和数值模拟表明，一些光学性能的优化比汉明函数加权的优化耦合器。
We propose a new design and numerically show that some optical properties of the optimized one are better than the optimized coupler with hamming function weighting.
实例研究证明，该方法具有搜索速度快、求解精度高的优点，因此对目标函数的优化结果比常规数值解法、遗传算法更加有效。
Case studies show that this method has the virtues of searching rapidness and enhancing the searching precision. Therefore, optimized results of this method...
建立了方向图设计的数学模型，通过最小化代价函数来获得数值优化结果。
A mathematical model of designing a beam pattern is set up, and the method can get the optimized result by minimizing the cost function.
以实例分析验证了算法的可行性，仿真结果展示了所用算法在优化目标函数值上的优越性和计算时间的可行性。
A case problem is used to verify the application of the proposed method. Numerical results show that it is computationally efficient and good schedules can be obtained.
以实例分析验证了算法的可行性，仿真结果展示了所用算法在优化目标函数值上的优越性和计算时间的可行性。
A case problem is used to verify the application of the proposed method. Numerical results show that it is computationally efficient and good schedules can be obtained.
应用推荐