A global optimization method is presented to optimize the multi-layer planar inductors.
为多层平面电感设计提出了一种全局优化方法。
A global optimization method based on mutual information is proposed for multimodality medical image registration.
为了准确、可靠地配准多模态医学图像，提出了一种基于互信息的全局优化配准算法。
The result shows that SNTO is a global optimization method and it can save calculation time with such a modification.
结构表明，SNTO法是一种实用的全局优化方法，收缩比和收敛判据的改进可大大缩短计算时间。
SNTO method is one of practical global optimization methods because of distinctness of its principle and easy realization.
SNTO法的原理清晰，且易于实现，是一种较实用的全局优化方法。
It shows that SNTO method is a practical global optimization method because of the distinctness of its principle and easy realization.
结果表明，SNTO法原理清晰且易于实现，是一种比较实用的全局优化方法。
Finally, the 3d structure and camera parameters were processed with a global optimization method to improve the robustness of the reconstruction.
通过对三维结构和摄像机参数进行全局优化处理，以提高重建的鲁棒性。
Based on the immune algorithm and geometric implication of the reliability index, a global optimization method was put forward to calculate the reliability index.
基于免疫算法原理和可靠度指标的几何涵义，提出了计算岩土工程可靠度指标和设计验算点的全局优化算法。
In the second step, the damage extent of possibly damaged elements is then evaluated using the least-squares method and a global optimization method, respectively.
在第二步骤中，可能损坏元件的损伤程度，然后使用最小二乘法和一个全局最优化的方法，分别进行评价。
A stochastic global optimization method based on direct search is introduced to solve the global optimal solution of the problem, and the process is also discussed in detail.
将基于直接搜索法的随机全局优化方法用于求解该问题的全局最优解，给出了具体的算法步骤。
The global optimization method and thermo-coefficient suitable for heat supply steam turbine sets is deduced according to the optimized method for Condensing steam turbines sets.
从凝汽机组负荷优化分配的算法出发，在此基础上推导了适用于供热机组的全局寻优法和热化做功系数法。
According to the theories of thin film calculation and optimization, a new global optimization method - GASA for multilayer film thickness calculation is presented in this paper.
在此基础上根据薄膜光学计算理论和最优化理论，提出了一种测量多层薄膜厚度的新的全局优化算法——GASA算法。
Numerical examples illustrate that the present method possesses both good capability to search global optima and far higher convergence speed than that of chaos optimization method.
算例表明，当混沌搜索的次数达到一定数量时，混合优化方法可以保证算法收敛到全局最优解，且计算效率比混沌优化方法有很大提高。
Optimal flow pattern and branch changing cannot assure the global optimization result, but it can get the result in short time if it combines with the elicitation method.
最优流模式和基于支路的交换方法不能保证得到全局最优解，但与启发式规则结合后，可以在较短的时间得到结果。
As a new type of searching method for global optimization, Genetic algorithms has some merits such as intelligence searching, parallel mode, robust and wide application.
遗传算法作为一种新的全局优化搜索方法，具有智能性搜索、并行式计算、鲁棒性强、应用范围广等优点。
In this paper, a filled function method for solving global optimization problems with inequality and equality constraints is proposed.
提出了一种解决含有等式约束及不等式约束的全局优化问题的填充函数方法。
This paper presents an improved fast simulated annealing algorithm based on the analysis on deterministic method and simulated annealing algorithm for solving global optimization problems.
基于对求解全局优化问题的确定性方法和模拟退火算法的分析，文中提出了一种改进的快速模拟退火算法。
Then, we consider a new filled function method with parameter free for solving general global optimization problems.
然后，对于一般结构的全局优化问题，我们给出了一个新的无参数的填充函数方法。
The paper presents a nonlinear conjugate gradient method for unconstrained optimization problem, and proves its global convergence under exact line searches.
该文提出一种无约束优化非线性共轭梯度法，证明了精确线性搜索下的全局收敛性。
This paper proposes a new global optimization technique in which combines the filled function method and BP algorithm for Training feedforward neural networks.
把填充函数法与BP算法相结合，提出一种训练前向神经网络的混合型全局优化新算法。
Finally, a heuristic sampling method oriented to different targets is pointed to increase the model's global proximate and optimization precision.
最后，提出了全局近似和优化精度面向不同目标的启发式采样策略的改进方法。
Chapter 3 constructs a new generalized pattern search method for linear equality constrained optimization problems and gives the proofs of the global convergence.
第3章给出了广义模式搜索算法对线性等式约束最优化问题的一个新解法，并证明了这种算法的全局收敛性。
The result shows that the optimization method based on approximation technology has good global performance and also can greatly save the calculating resources.
结果表明基于近似模型的优化方法不仅全局性良好，而且有效节约了计算资源。
The result shows that the optimization method based on approximation technology has good global performance and also can greatly save the calculating resources.
结果表明基于近似模型的优化方法不仅全局性良好，而且有效节约了计算资源。
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