A new method combined global and local optimization is proposed. 针对这一问题提出一种全局优化同局部优化相结合的双层优化方法。
The experimental results of classical function show this algorithm improves the global convergence ability and efficiently prevents the algorithm from the local optimization and early maturation. 通过经典函数的测试结果表明,新算法的全局搜索能力有了显著提高,并且能够有效避免早熟问题。
In this paper, a local optimization search algorithm was introduced to accelerate the convergence velocity and mitigated the influence of the initial value. 引入了局部优化搜索算法,加快了算法的收敛速度,减轻了初值对结果的影响。
For searching for all local optimization of the multi-modal function, a chaos-PSO algorithm based on nonlinear conjugate gradient algorithm was proposed. 为了寻找多峰函数的全部极值点,提出一种基于非线性共轭梯度法的混沌微粒群算法。
The improvement of clustering can strengthen the algorithms local optimization capability and reduce the computation complexity considerably while eliminating some outliers. 聚类方式的改进不仅增加了算法的局部寻优能力,有效地减少了计算的复杂度,而且还具备一定的野值剔除能力。
The advantages and disadvantages of local optimization, global optimization and the base content of hybrid optimization algorithms are summarized simply; 简要概述了局部最优化、全局最优化的优缺点和混合最优化算法的基本内容;
This medicine can please local optimization cutting, but the dialectical sprout, the dosage should not be reduced. 此方亦可请当地中医辩证化裁,但方中谷芽、麦芽剂量不应减少。
Using this improved arithmetic to solve the inverse problem of EEG, it runs faster and can avoid local optimization more availably than SGA. 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。
During adjustment process, a creative method named reverse adjustment was adopted, to prevent the algorithm from being got in local optimization trap. 该算法的基本思路是边构造边调整路径,在调整中采用了独创的逆向调整方法,避免算法陷入局部优化陷阱。
Discussion of nonlinear local optimization methods for EEG inverse problem solution 求解脑电逆问题的非线性局域优化方法探讨
The experiments manifest that the hybrid algorithm can properly and quickly find all local optimization of the continuous-differential function. 仿真实验表明,该算法能准确、快速地找到连续可微多峰函数的全部极值点。
Introducing into the self-adapted neighborhood contraction strategy and the local optimization method; 引入了自适应邻域缩小策略和局部优化方法;
Combining Particle Filter with Local Optimization for Human Body Tracking 结合粒子滤波和局部优化方法的人体运动跟踪
In the second chapter, we introduced some local optimization algorithm, which would be used in the FFM. 第二章进一步简要介绍了本文要用到的局部优化算法和几种常用的全局优化方法。
The proposed algorithm incorporates the thoughts of heuristic algorithm, randomized algorithm and local optimization. 这种算法结合了启发式算法和随机化算法以及局部寻优的思想。
This method can combined local optimization with global optimization. 这种方法将局部优化和全局优化统一起来。
The strategy of objective is developed through the analysis of the local optimization and the global optimization. 通过对多阶段布局过程及局部最优解与全局解之间关系的分析,提出了解决布局问题的目标策略。
Based on the stochastic and ergodic property of chaos variables, the method searches the space of loci, which effectively overcomes the drawback of converging to local optimization and greatly improves the speed of searching the optimum. 该算法利用混沌变量的特定内在随机性和遍历性对基因座空间进行搜索,有效地克服了遗传算法容易收敛于局部最优的缺点,大大提高了遗传算法的寻优速度。
The hybrid genetic algorithm is formed combined with the Metropolis discrimination criteria of simulated annealing algorithm ( SA), which can jump from local optimization solution. 实施了最优保留策略,改进交叉和变异操作,并结合模拟退火算法(SA)的Metropolis判别准则的复制策略,使寻优过程能够跳出局部最优解,从而形成了混合遗传算法。
In many usually used nonlinear local optimization algorithms, Gauss Newton's is of fast convergent speed. 在多种常用的非线性局域优化算法中,高斯-牛顿算法具有较快的收敛速度。
The algorithm essentially reflects unification of global optimization and local optimization in this very complex environment. 该算法从本质上反映了在这种较为复杂的环境下全局优化与局化优化的统一。
Three algorithm results are compared: Globe optimization, local optimization with moving time window and a heuristic one. 对比研究了全局优化、带移动时间窗的局部优化以及一种启发式算法。
This method overcome the drawbacks in existing control methods such as huge data transfer and communication, accurately traffic model and so on, and unified the local optimization and global optimization. 这种方法克服了现有的控制方法需要大量数据传输通讯、准确的交通模型等缺陷,将局部优化和全局优化统一起来。
Then it introduces the basic theory of Ant colony algorithm, after analyzing of various parameters on the performance of algorithms, this paper proposes two improved Ant Colony Algorithm to avoid falling into local optimization. 然后介绍了蚁群算法的理论基础,分析了各参数对算法性能的影响,提出了基于参数改进的蚁群优化算法和避免其陷入局部最优这一不足的自适应蚁群算法。
The improved genetic algorithm can enhance the performance in searching globally optimal solution and improving the rate of evolution, improve the local optimization ability and get the more optimal solution with guaranteed efficiency. 改进后的遗传算法能在全局最优解的搜索角度和算法的进化速度方面来提高遗传算法的性能,提高了传统遗传算法的局部寻优能力,可以在保证效率的情况下取得更优解。
In addition, in view of the feature of VRP, a mutation method is modified and local optimization process is increased on the basis of the standard genetic algorithm. 此外,针对VRP问题本身的特点,改进了变异方法,并在标准遗传算法流程的基础上,增加了局部优化的过程。
To avoid the PSO trapping into local optimization and accelerate the rate of convergence, this paper upgrades the PSO algorithm through integrating the Tabu Search and Simulated Annealing algorithm based on PSO algorithm, in which adopt convergence factor and index decreasing strategy of inertia weight. 为克服其可能陷入局部极值,提高收敛速度,本文在基本粒子群优化算法的基础上,结合禁忌搜索和模拟退火算法的思想对算法进行了改进,并引入了指数递减惯性权值和收敛因子。
Then adopting multistage local optimization design further improves the total performance through improving local performance. 然后采用多级局部优化设计,通过提高局部性能来提高总体性能。
The advantage of this algorithm is that it can avoid local optimization and converge whole optimization. 其优点在于能有效地避免了局部搜索算法陷入局部最优的弊端而收敛于全局最优解。
For aircraft parameter identification, the maximum likelihood method is used as a local optimization operator to make use of the global optimization ability of genetic algorithm and the convergence rate and accuracy of maximum likelihood method. 针对飞行器参数辨识,采用极大似然法做为遗传算法的局部寻优算子,使得新算法利用了遗传算法的全局寻优能力和极大似然法的收敛速度和精度。