非劣分层,non-dominated sorting英语短句,例句大全

非劣分层,non-dominated sorting
1)non-dominated sorting非劣分层
1.It contained non-dominated sorting method,elitist strategy and swarm intelligence idea.借鉴非劣分层方法、精英策略和群智思想,建立混合优化算法,通过该算法及惩罚函数寻优,设定生产过程中操作变量的最优参数,采用实际工业生产数据仿真和验证,建立周期性的两级优化结构来实现优化控制。
2.The non-dominated sorting in genetic algorithms(NSGA) has some deficiencies such as the poor local search and premature convergence.针对非劣分层多目标遗传(NSGA)本身所存在的局部搜索能力和易早熟的问题,鉴于模拟退火算法的局部搜索能力强和在解决易早熟问题上的优势,提出了加入局部搜索的多目标遗传算法及适用于多目标优化的模拟退火局部搜索算法和跳转准则,即在NSGA的每一代个体中的1层、2层非劣解附近进行模拟退火局部搜索。
2)nsga非劣分层遗传算法
3)non-dominated sorting genetic algorithm II(NSGA-II)改进非劣分层多目标遗传算法(NSGA-II)
1.Taking the accurate setpoint tracking,disturbance attenuation and robust stability performances as the objective function,the Pareto optimal solution was obtained by using non-dominated sorting genetic algorithm II(NSGA-II).将系统的跟随性能、扰动抑制性能及鲁棒性能作为目标函数,采用改进非劣分层多目标遗传算法(NSGA-II)求出Pareto最优解。
4)elitist NSGA-Ⅱ非劣前沿分级
1.In order to seek the only best answer for Multi-objective job-shop scheduling,optimization strategy and realization method are presented based on the elitist NSGA-Ⅱ.研究了带精英策略的非劣前沿分级遗传算法,优化了算法终止条件。
5)non stratified flow非分层流
6)non-dominated sorting非劣排序
1.The basic principle and method of genetic algorithm and an updating genetic algorithm-elitist non-dominated sorting genetic algorithm——elitist non-dominated sorting genetic algorithm (NSGA-Ⅱ) are introduced.本文阐述了遗传算法的基本原理和方法,并着重介绍了一种改进的遗传算法———精英保留非劣排序遗传算法(NSGA-Ⅱ),并将其应用于化工中的多目标优化。
2.In this algorithm, the Pareto non-dominated sorting mechanism is integrated with the differential evolution algorithm;meanwhile the individual crowding mechanism and the mutation strategy are improved to cope with the premature convergence and the search bias.在此算法中,通过将Pareto非劣排序操作与微分进化算法有机融合,并对个体的排挤机制和变异策略进行改进以克服进化早熟和搜索不均匀的问题,设计出了一种新的非劣排序微分进化算法对模型进行求解,并采用模糊集理论提取出最优折中解。

英文短句/例句

1.Multi-objective Optimization Power Dispatch Based on Non-dominated Sorting Differential Evolution基于非劣排序微分进化的多目标优化发电调度
2.Non-dominated sorting differential evolution algorithm for multi-objective optimal PMU placement求解PMU多目标优化配置问题的非劣排序微分进化算法
3.Superiority and inferiority ranking method for grey stochastic multi-criteria decision-making灰色随机多准则决策的优劣势排序法
4.The Application of OWGA Operator in the rank ordering of village ’s cadreOWGA算子在乡村干部业绩优劣评价排序中的应用
5.The Multi-Objective Decision-making and EvaluationMethods for the Noninferior Development Sequenceof Power Plants;电站群非劣开发顺序多目标决策评价方法
6.Scheduling Models with Jobs' Processing Times Being Nonconstant;工件加工时间非恒定的排序模型研究
7.Ordering Trees with a Given Number of Non-pendant Edges with Respect to Their Energies;给定非悬挂边数的树的能量排序问题
8.Non-dominated Sorting Genetic Algorithm and Its Applications;非支配排序遗传算法（NSGA）的研究与应用
9.Procedural Controlling Mechanism of the Exclusionary Rule of Illegally Obtained Evidence;非法证据排除规则的程序性控制机制
10.Transformation of Economy, Order of Market and Arrangement of Informal Institutions;经济转型、市场秩序与非正式制度安排
11.Opertors Analysing of the Nondominated Sorting Genetic Algorithm(NSGA);非支配排序遗传算法(NSGA)算子分析
12.The result shows that the quality of living life of urban residents are positive correlated with the size of city.通过排序和等级划分可以看出,城市人口生活质量的优劣,与城市规模成正相关。
13.Report errors for these programs (unless specifically excluded below):为这些程序报告错误(除非在下面特别排除):
14.On-line Scheduling with Non-overlapping Maintenance Time on Parallel Machines;具有非交叉维修时间的平行机在线排序
15.Research on Localization of the Application Procedure of the Exclusive Rule Criminal Illegal Evidence;刑事非法证据排除规则适用程序本土化研究
16.Approaches to Constructing Chinese Exclusive Rules of Illegal Civil Evidences;论建构非法证据排除规则程序的基本要求
17.Major Non-Traditional Security Issues Facing China and Their Prioritization;中国目前面临的主要非传统安全问题及其排序
18.Research and Implementation of Unsorted Block Image File System非排序块映像文件系统（UBIFS）的研究与实现

相关短句/例句

nsga非劣分层遗传算法
3)non-dominated sorting genetic algorithm II(NSGA-II)改进非劣分层多目标遗传算法(NSGA-II)
1.Taking the accurate setpoint tracking,disturbance attenuation and robust stability performances as the objective function,the Pareto optimal solution was obtained by using non-dominated sorting genetic algorithm II(NSGA-II).将系统的跟随性能、扰动抑制性能及鲁棒性能作为目标函数,采用改进非劣分层多目标遗传算法(NSGA-II)求出Pareto最优解。
4)elitist NSGA-Ⅱ非劣前沿分级
1.In order to seek the only best answer for Multi-objective job-shop scheduling,optimization strategy and realization method are presented based on the elitist NSGA-Ⅱ.研究了带精英策略的非劣前沿分级遗传算法,优化了算法终止条件。
5)non stratified flow非分层流
6)non-dominated sorting非劣排序
1.The basic principle and method of genetic algorithm and an updating genetic algorithm-elitist non-dominated sorting genetic algorithm——elitist non-dominated sorting genetic algorithm (NSGA-Ⅱ) are introduced.本文阐述了遗传算法的基本原理和方法,并着重介绍了一种改进的遗传算法———精英保留非劣排序遗传算法(NSGA-Ⅱ),并将其应用于化工中的多目标优化。
2.In this algorithm, the Pareto non-dominated sorting mechanism is integrated with the differential evolution algorithm;meanwhile the individual crowding mechanism and the mutation strategy are improved to cope with the premature convergence and the search bias.在此算法中,通过将Pareto非劣排序操作与微分进化算法有机融合,并对个体的排挤机制和变异策略进行改进以克服进化早熟和搜索不均匀的问题,设计出了一种新的非劣排序微分进化算法对模型进行求解,并采用模糊集理论提取出最优折中解。