全局优化算法可分为随机性算法和确定性算法。
Global optimization algorithms can be classified into two types: stochastic techniques and deterministic techniques.
实验结果表明，该算法是一种快速有效的全局优化算法。
Experimental results show that the algorithm is an efficient global optimization algorithm.
差异进化算法是一种简单、可靠和有效的全局优化算法。
The differential evolution is a simple, reliable and efficient global optimization algorithm.
对带系数的线性比式和问题(p)提出一确定性全局优化算法。
In this paper a global optimization algorithm is proposed for locating global minimum of sum of linear ratios problem (p) with coefficients.
综述了相平衡计算中常用的全局优化算法，并对其现状做了比较。
Some major global optimization algorithms of phase equilibria calculation are summarized and compared.
提出一种混沌梯度组合全局优化算法，并对该算法进行了收敛性分析。
A coupled optimization algorithm combined gradient search with chaotic search is proposed and its (convergence) is discussed.
本文提出了一种新的适用于处理非线性约束下线性规划问题的全局优化算法。
A new global optimal algorithm is presented to solve linear programming problems with nonlinear constraints.
因此，本文为电磁场逆问题的求解计算提供他一种可供选择的全局优化算法。
Thus an alternative for the global optimization of inverse problems in electromagnetics is introduced.
优化设计采用试验设计与全局优化算法相结合以提高设计的稳健性，加速收敛。
Design of experiment and global optimization algorithm are integrated in the system to enhance optimization robustness and accelerate convergence.
对广泛应用于金融及经济等实际问题中的一类带有多乘积约束的线性规划问题提出一种全局优化算法。
In this paper a global optimization algorithm is proposed for some programming problem (p) with additional multiplicative constraints, which can be applied to finance and economics and so on.
该文从更基本的优化思想出发，基于概率论提出了一种新的全局优化算法——统计归纳算法(SIA)。
This paper presents a new global optimization algorithm, the statistic inductive algorithm (SIA) based on a more fundamental optimization concept.
为解决电磁场逆问题分析计算过度依赖计算机资源这一“瓶颈”问题，提出了一种新的快速全局优化算法。
Using this improved arithmetic to solve the inverse problem of EEG, it runs faster and can avoid local optimization more availably than SGA.
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。
Based on the immune algorithm and geometric implication of the reliability index, a global optimization method was put forward to calculate the reliability index.
粒子群算法已经被证明是一种有效的全局优化算法，其收敛速度快，易于实现，已经成功地运用到了许多工程领域。
PSO has been proved to be an effective global optimization algorithm. It is easy to implement, quickly convergence, and has been successfully applied to many engineering fields.
通过对OFDM的子信道比特分配空间进行分析，本文提出着眼于误比特概率梯度的动态lms算法和全局优化算法。
In this paper, dynamical LMS algorithm and global optimization algorithm, with a view to gradient of error probability, are proposed based on analysis of sub-carries allocation space for OFDM system.
基于结构可靠度指标的物理含义，建立了水库泄洪风险计算优化模型，并引进了粒子群全局优化算法对该模型进行求解。
Based on the physical meanings of structural reliability index, the optimization model of flood discharging risk is established in this paper, and the global PSO is introduced to solve the model.
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。
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.
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 presented can solve premature convergence problem effectively and converge to the globally optimal solution.
现代优化算法主要解决全局最优问题，其本质是概率性的。
The main objective of modern optimization algorithm is to deal with the problem of global optimum, which is essentially probabilistic.
采用一类全局收敛的连续模拟退火算法完成了控制器参数的优化设计。
A continuous simulated annealing algorithm with global convergence ability is applied to solve this controller parameters optimization design problem.
本文研究了一种求解连续变量空间全局优化的进化算法，基于分片二维搜索的修正微分进化算法。
In this paper, we study a new kind of evolutionary algorithm for global optimization over continuous Spaces, a revision of Differential evolution based on piecewise two-dimensional search.
本文研究了一种求解连续变量空间全局优化的进化算法，基于分片二维搜索的修正微分进化算法。
In this paper, we study a new kind of evolutionary algorithm for global optimization over continuous Spaces, a revision of Differential evolution based on piecewise two-dimensional search.
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