1)Gauss mutation operator高斯变异算子
1.A cooperative co-evolution(CCEA) model to function optimization is proposed,based on an improved Guo Tao operator,which employed a Gauss mutation operator to enhance its exploring ability.在合作式协同演化(CCEA)的基础上,引入了使用高斯变异算子的郭涛算法,设计了一种求解函数优化问题的高效混合演化算法。
2.The new algorithm has two main characteristics:firstly,the Gauss mutation operator of Evolution Strategies(ES) is introduced;secondy,variable searching subspace is introduced.新算法的主要特点有两个:一是引入演化策略中的高斯变异算子,二是引入自适应搜索子空间。
3.The new algorithm has two main characteristics: first, int roduce the Gauss mutation operator of Evolution Strategies (ES) ; second, introd uce variable searching subspace.对郭涛算法做了两点改进:一是引入演化策略中的高斯变异算子,二是引入自适应搜索子空间。
2)Gauss sustainer高斯不变算子
3)gauss mutation高斯变异
1.The generalized objective function is improved,and Cauchy combination,Cauchy mutation and Gauss mutation are introduced.通过改进广义的目标函数,对不可行解恰当地进行惩罚,并引进柯西组合、柯西变异以及高斯变异,极大地提高了算法的全局搜索和局部搜索能力,克服传统遗传算法"爬山能力差"的弱点。
2.Aiming at the disadvantages of Artificial Fish-School Algorithm(AFSA),this paper proposes a novel AFSA based on adaptive Gauss mutation and historical best fish.针对基本人工鱼群算法存在的不足,根据高斯变异和历史最优鱼个体状态,提出自适应高斯变异人工鱼群算法。
英文短句/例句
1.Artificial Fish-School Algorithm Based on Adaptive Gauss Mutation基于自适应高斯变异的人工鱼群算法
2.Dykstra-Persons permeability variation factor戴克斯特拉-帕森斯渗透率变异系数
3.Magical Deviation in E.E.Cummings′ Poetry;卡明斯的魔幻语言变异——卡明斯诗歌文体分析
4.Deviations of Language Use in Ulysses and Their Translation;《尤利西斯》的意识流语言变异与翻译
5.A Comparison of Translation of Grammatical Deviation in Ulysses《尤利西斯》中的语法变异翻译对比研究
6.Spatial variation moperty of soil arsenic (As) content in Xinyi-Donghai agricultural area, Jiansu Province was studied adopting sequential Gaussian conditional simulation techniques.采用序贯高斯条件模拟值法,研究了江苏省新沂、东海农业区土壤砷含量空间变异性。
7.CHARACTERISTICS OF VERTICAL DIFFERENTIATION OF LANDSCAPE PATTERN CHANGE AT KARST PLATEAU MOUNTAIN--A CASE STUDY OF MIDDLE AND LOWER REACHES OF HOUZHAI SUBTERRANEAN STREAM BASIN IN PUDING COUNTY,GUIZHOU喀斯特高原山区的景观格局变化垂直分异性——以贵州省普定后寨地下河流域中下游为例
8.Additive variance was higher than dominance variance, which indicates quantitative inheritance.加性的变异高于显性的变异,表明是数量遗传。
9.Ecological heterogeneity in the sandy grassland of Ordos Plateau,China鄂尔多斯高原沙地草地的生态异质性
10.Gaussian Beam Scattering by Spherical Uniaxial Anisotropic Medium;单轴各向异性介质球的高斯波束散射
11.Genetic Variation of Endosperm Storage Protein and Agronomic Traits in Triticum Carthlicum Nevski;波斯小麦贮藏蛋白遗传变异及农艺性状研究
12.Driving Forces of the Variation of Soviet Democratic System at Stalin Times;斯大林时期苏联苏维埃体制变异的历史机理
13.The Metamorphic Beauty of Dostoyevskys Artistic World;陀思妥耶夫斯基艺术世界的异态变形美
14.The gravity gradient anomaly reflects the change of gravity anomaly, and it has a higher resolution than gravity anomaly.重力梯度异常反映的是重力异常的变化,其分辨率比重力异常高。
15.Higher Order Singular Spectrum Analysis of EEG Based on Wavelet Transform基于小波变换的脑电高阶奇异谱分析
16.The Variable Frequency System to Induction Motor of Higher Power Factor;高功率因数异步电动机变频调速系统
17.The Research on Experiment s Variability and Development of Senior Middle School Textbooks;高中化学教材实验的变异及发展研究
18.Approach Some Problems That Relate to Heredity and Variation of Senior Middle School;高中《遗传和变异》有关题型的探讨
相关短句/例句
Gauss sustainer高斯不变算子
3)gauss mutation高斯变异
1.The generalized objective function is improved,and Cauchy combination,Cauchy mutation and Gauss mutation are introduced.通过改进广义的目标函数,对不可行解恰当地进行惩罚,并引进柯西组合、柯西变异以及高斯变异,极大地提高了算法的全局搜索和局部搜索能力,克服传统遗传算法"爬山能力差"的弱点。
2.Aiming at the disadvantages of Artificial Fish-School Algorithm(AFSA),this paper proposes a novel AFSA based on adaptive Gauss mutation and historical best fish.针对基本人工鱼群算法存在的不足,根据高斯变异和历史最优鱼个体状态,提出自适应高斯变异人工鱼群算法。
4)Gaussian mutation高斯变异
1.In addition,a new crossover operator is proposed and the Gaussian mutation operator is used,which enhance population s diversity and algorithm s local search ability.提出了一种新的正交遗传算法(OBGA),算法的特点是利用正交数组产生初始种群,它比随机产生的初始种群更均匀分布在解空间中,而且在正交设计的基础上提出了一种新的杂交算子,与高斯变异算子相结合,提高了种群的多样性和算法的局部搜索能力,最后对6个多峰函数进行了测试。
2.Gaussian mutation is applied to the two individuals if necessary in order to balance the lacal search ability and the global search abilty before crossover,thus efficiency of algorithm is improved,which can be showed .在进行杂交之前,根据两个个体变量之间的距离恰当地应用高斯变异,平衡了算法的局部搜索能力和全局搜索能力,从而提高了算法的效率。
3.In this paper,a new particle swarm opti-mization is proposed based on the threshold of evolutionary generation,maximal focusing distance and Gaussian mutation among particles.为了有效地控制其全局搜索和局部搜索,使之获得较好的平衡,论文在深入分析和研究标准粒子群优化算法的基础上,提出了一种基于进化代数阈值和粒子间最大聚集距离高斯变异的粒子群优化算法。
5)gauss aberrance genetic mode-genetic algorithm高斯变异遗传算法(GBGM-GA)
6)gauss operator高斯算子
延伸阅读
凹算子与凸算子凹算子与凸算子concave and convex operators 凹算子与凸算子「阴~皿d阴vex.耳阳.勿韶;.留叮.肠疽“‘.小啊j阅雌口叹甲司 半序空间中的非线性算子,类似于一个实变量的凹函数与凸函数. 一个Banach空间中的在某个锥K上是正的非线性算子A,称为凹的(concave)(更确切地,在K上u。凹的),如果 l)对任何的非零元x任K,下面的不等式成立: a(x)u。(Ax续斑x)u。,这里u。是K的某个固定的非零元,以x)与口(x)是正的纯量函数; 2)对每个使得 at(x)u。续x《月1(x)u。,al,月l>0,成立的x‘K,下面的关系成立二 A(tx))(l+,(x,t))tA(x),0
