Experimental results show that the algorithm is an efficient global optimization algorithm.
实验结果表明，该算法是一种快速有效的全局优化算法。
The differential evolution is a simple, reliable and 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。
A fast stochastic global optimization algorithm, particle group optimization algorithm, was used for training the fuzzy neural network.
模糊神经网络的学习算法采用的是快速的粒子群优化算法。
In this paper a global optimization algorithm is proposed for locating global minimum of sum of linear ratios problem (p) with coefficients.
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。
Design of experiment and global optimization algorithm are integrated in the system to enhance optimization robustness and accelerate convergence.
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。
This paper presents a new global optimization algorithm, the statistic inductive algorithm (SIA) based on a more fundamental optimization concept.
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)。
Based on variable substitution and the simplex method for linear programming, the paper also discusses the global optimization algorithm for the absolute value programming.
同时，引入变量代换，基于线性规划的单纯形法，提出该类绝对值规划问题的全局优化求解算法。
The ADPSO is a global optimization algorithm for direction finding, which takes advantage of the merits of differential evolutionary algorithm and particle swarm algorithm.
利用粒子群算法和差分进化算法的优点，可以获得测向问题的全局最优解。
Particle Swarm optimization (PSO) algorithm is a population-based global optimization algorithm, but it is easy to be trapped into local minima in optimizing multimodal function.
粒子群优化算法应用于多极值点函数优化时，存在陷入局部极小点和搜寻效率低的问题。
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.
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。
The second one is multicast routing algorithm based on Clone Selection algorithm, Clone Selection algorithm is a global optimization algorithm and can improve the performance of multicast tree.
第二种是基于免疫克隆选择算法的组播路由算法，该算法利用了免疫克隆选择算法全局搜索能力，提高组播树的性能。
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.
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。
A continuous simulated annealing algorithm with global convergence ability is applied to solve this controller parameters optimization design problem.
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。
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。
Be inspired from natural plant growth, this paper proposes a bionic algorithm for solving the global optimization of nonlinear integer programming.
从大自然植物生长中得到启发，提出了一种求解非线性整数规划全局最小解的仿生算法。
Multimethod collaborative optimization algorithm based on serial collaboration is advanced to get better global optima of complex optimization problem.
为更好地求解复杂优化问题的全局最优解，提出了基于串联协作的多方法协作优化方法。
The standard particle swarm optimization algorithm as a random global search algorithm, because of its rapid propagation in populations, easily into the local optimal solution.
标准的粒子群优化算法作为一种随机全局搜索算法，因其在种群中传播速度过快，易陷入局部最优解。
This paper proposes a direct search algorithm for global optimization and multi-peak searching of functions with boundary constraints.
针对边界约束函数全局最优化和多峰寻优问题，提出一种直接搜索算法。
A dynamic programming algorithm based on the global optimization is presented to extract the maximum frequency waveform of the Doppler ultrasound blood flow signal.
提出一种基于全局优化的动态规划算法以进行超声多普勒血流信号最大频率曲线的提取。
Plant growth simulation algorithm aiming at the global optimization of integer programming is a kind of bionics random algorithm which occurs in nature.
针对整数规划全局优化问题所首次提出的模拟植物生长算法，是一种源于大自然的仿生类随机算法。
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。
Particle Swarm Optimization as a Swarm Intelligence algorithm, has strong global search capability, can be used for training neural network to overcome the defect of BP algorithm.
然而在粒子群优化算法中，早熟现象时有发生，从而制约了算法的性能。
Particle Swarm Optimization as a Swarm Intelligence algorithm, has strong global search capability, can be used for training neural network to overcome the defect of BP algorithm.
然而在粒子群优化算法中，早熟现象时有发生，从而制约了算法的性能。
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