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- Local optimum is not even an indication for the global optima. 局部利益与整体的利益并不一致。
- Theoretically, Global optimum can be reached with Genetic Algorithm (GA), but GA converges very slowly. 遗传算法是一种全局搜索方法，但是它收敛速度慢。
- Simulation results show that the TSSC scheme takes only four steps to approach the global optimum. 结果表明，TSSC策略只需三次局部最优计算后再进行比较就达到了几乎全局最优。
- How do you locate the global optima? 如何找出总体最优值？
- Population and vaccine repertory influence each other and co-evolve so that they accelerate convergence to the global optimum. 种群与疫苗库相互作用、协同进化，极大地提高了算法的收敛速度。
- GA is a randomoptimization algorithm with global optimum capability, but it has the disadvantages of slow convergence and precocity. 遗传算法是一种具有全局寻优能力的随机搜索算法，但其本身存在收敛速度慢和易早熟的缺陷。
- Dynamic Route Guidance System（DRGS） is important in the field of Intelligent Transport System（ITS）.The global optimum and real-time property in DRGS must be considered. 摘要 动态路径诱导系统（DRGS）是智能运输系统（ITS）研究的一个重要内容，动态路径诱导算法要考虑到全局最优和实时性问题。
- The four methods are analyzed and compared with an example, and GA's based on the decimal system are proved to be best for their rapid converging speed and global optimum. 并通过实例计算，对这四种方法进行了分析比较，结果证明，基于十进制编码的遗传算法具有收敛速度快，能达到全局最优的优点.
- Theoretical analysis and simulation results show that AGA can not only get the global optimum value in arbitrary precision,but also raise efficiency remarkably. 理论分析和仿真实验表明改进算法不仅具有以任意精度达到全局最优值的能力，而且具有更高的优化效率。
- The RBF networks was applied to identify the temperature drift as it can achieve the global optimum evaluation and has the linear weight-combiner and fast learning. 通过温度实验研究了机抖激光陀螺的温度特性，采用RBF网络进行温漂辨识。
- Global optimum solution may be obtained by making interactive iteration and statistical analysis of a great deal of data.Real processing results indicate that the meth... 通过对大量数据进行统计,用交互迭代的方法求出全局最优解。
- Because of GA s global optimum ability, using GA for codebook training can obstain a global optimum codebook, and overcome local optimum limitation of traditional algorithms. 遗传算法有卓越的全局优化搜索能力,易搜索到全局最优的矢量分类,形成高度优化的码书,可克服传统方法局部优化的缺陷。
- A new method based upon Refined Genetic Algorithm (RGA), which global optimum is easily converged with, for the fault section estimation problem is presented. There are some new operators in RGA and basic operations of RGA are different from those of SGA. 本文研究了RGA在电力系统故障诊断中的应用,这种方法可以有效地求得全局最优解,与SGA相比RGA的遗传算子中包括了一些新的算子,基本算子的实现方式也不一样。
- The experiment results of multiuser detection problem show that both of the proposed methods not only have simpler algorithm structure, but also perform better than conventional QEA and BPSO in terms of ability of global optimum. 通过对多用户检测问题的求解表明，新的算法不仅操作更简单，而且全局搜索能力有了显著的提高。
- The mutated individual follows the advantage direction of current population, so it can jump local optimum and get the global optimum and it can avoid the semi-blind of conventional Darwinian-type evolutionary computation. 这样，在利用优势个体确定变异方向的同时，借助劣势个体来搜索潜在的优势个体，使得个体变异既能沿着当前种群的优势方向前进，又能跳出局部最优，寻求全局最优，从而成功地克服传统达尔文演化策略的半盲目性。
- When PSO was trapped into local minima point, proper transforming parameters were selected according to concrete optimal function, and the global optimum resolution was realized by executing RST. 当检测到陷入局部极小时，根据具体的优化函数，选择适当的变换参数，进行RST变换，从而得到问题的全局解。并对四个不同的测试函数进行了数值计算实验。
- So by means of the global search of EC, this method can overcome the shortcoming of MDI.That is to say, MDI is based on local search.By this method we can gain a, global optimum solution. 这样借助于进化计算全局搜索的特点，能克服传统的MDI局部搜索的不足，从而得到系统的全局最优解。
- The method holds both low-computational costs in Iterated Conditional Mode(ICM) and global optimum in simulated annealing(SA).Image restoration experiment is done with low SNR ima... 利用该方法恢复被加性高斯噪声污染的低信噪比图像,取得良好的实验结果。
- As nondifferentiable point occurs,the problem grows even moderately in either the number of factors or the number of responses,conventional optimization algorithms can fail to find the global optimum. 然而,满意度函数有时不可微,随因子、响应个数的增加,问题变复杂时,传统的优化算法可能获得局部最优解。
- In order to converge to global optimum more quickly and not to plunge a local extremum, rank-based selection algorithm and arithmetic crossover operator and non-uniform mutation operator are adopted. 为了加快收敛速度和不陷入局部极值，采用了排序选择算法、算术交叉算子和非一致变异算子。
