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global optimization
    An Improved Genetic Algorithm for One dimensional Global Optimization problem
    一维全局最优问题的改进遗传算法
    The hybrid genetic algorithm of Global Optimization for a Sort of Nonlinear Bilevel Mixed Integer-programming Problem
    一类非线性二层混合整数规划问题全局最优解的混合遗传算法
    Simulated annealing(SA)algorithms are random search techniques based on physical annealing process, which can prevent the optimizing process into local optimization and get the global optimization.
    模拟退火算法是模拟物理退火过程的一种随机优化搜索算法。 算法以优化过程的求解与物理退火过程的相似性为基础,通过接受准则和对下降温度的控制,能够有效的克服优化过程陷入局部极小从而获得全局最优解。
    The integrated method is not affected by the steps of wave arrival time andslowness, and global optimization solution is found with less computation in the range of givenslowness and wave arrival time.
    该方法不受慢度—时间相关法中首波到达时间步长与慢度步长大小选取的影响,并且只需要做部分计算就可以获得给定的时差、首波到达时间范围内的全局最优解。
    Genetic algorithm is a global optimization algorithm.
    遗传算法是一种全局优化算法,能以较大概率搜索到全局最优解。
    Simulation shows that the parameters converge to global optimization with high speed,identification precision and robust.
    仿真结果表明 ,改进的遗传算法辨识系统参数收敛到全局最优 ,且速度快 ,精度高 ,鲁棒性强。
    Results show that multi method collaborative optimization algorithm based on embedding collaboration obtains better global optimization performance than single optimization method.
    进行遗传算法、模式搜索法和Powell法嵌入协作组成的多方法协作优化方法设计。 计算实例表明 ,基于嵌入协作的多方法协作优化方法取得了优于单个优化方法的全局最优特性。
    Example shows that multimethod collaborative optimization algorithm can get better global optimization performance than single optimization method,which is a feasible global optimization algorithm to solve optimization problem,and is fit for solve complex optimization problem of which character is uncertainty.
    算例研究表明,多方法协作优化可以取得优于单个优化方法的全局最优特性,是一个可行的求解优化问题最优解的全局最优优化方法,适合于求解优化目标函数性质不确定的复杂优化问题。
    Genetic algorithm is proposed to optimize the model and to get global optimization.
    遗传算法的使用优化了局部相似模板生成过程,得到全局最优解。
    To overcome the defect that K2 algorithm requires the suitable order of nodes in advance while dealing with the structure learning of Bayesian Network Classifier (BNC), the algorithm GA-K2 is proposed which introduces the integer coding genetic algorithm based on selective ensemble concept to K2. It provides the guarantee of getting the best order of nodes and the convergence of Bayesian network structure for K2 in global optimization.
    为克服K2算法在处理贝叶斯网络分类器(BayesianNetworkClassifier,BNC)结构学习中要求先指定适合节点次序的缺点,提出GA-K2算法,将基于选择性集成的整数编码遗传算法引入到K2算法中,使之能得到最佳节点次序并且网络结构收敛到全局最优.
    This paper uses the property of global optimization search and self-study ability of genetic algorithm,combined with the fuzzy control method,the intelligent variable frequency control method of Air-Condition based on genetic algorithm and fuzzy theory is researched.
    本文利用遗传算法具有全局最优搜索能力和自增强式学习能力的特点,结合模糊控制方法,研究了一种基于遗传算法模糊智能变频空调的控制方法。
    A structural global optimization approach by usingpolar points in feasible regions as initial starting points
    以可行域极点为初始迭代点求结构优化全局最优
    The Approximate Algorithm of Global Optimization for a Sort of Nonlinear Bilevel Mixed Integer-programming Problem
    一类非线性两级混合整数规划问题的全局最优解的近似算法
    The Global Optimization for Some Classes of Programming Problems
    一些类型的数学规划问题的全局最优解(英文)
    Global Optimization Based on Golden Section Method on Plane
    利用平面上的黄金分割法求全局最优
    New method of global optimization solving multi-dimensional problems
    解决多维全局最优问题的一种新方法
    A New Filled Function for Finding Global Optimization
    寻求全局最优解的一个新的填充函数
    A chaotic search method for global optimization on tent map
    一种基于帐篷映射的混沌搜索全局最优方法
    The Global Optimization Algorithm for One-dimension Finite Wavelet Filters Approach
    参数化滤波器逼近问题的全局最优算法
    The Research of the Global Optimization Problem on the Vector Quantize of Speech Code
    语音矢量量化全局最优问题的研究
 

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