备件优化问题,spare parts optimization problem
1)spare parts optimization problem备件优化问题
1.Simulation results show that the model based on EDAs is reliable and effective for solving thespare parts optimization problem.将分布估计算法应用于备件优化问题,提出了基于分布估计算法的武器装备系统备件优化模型,分析了个体选择比例、精英保留等策略对算法的影响。
2)optimization problem优化问题
1.Kernel partial least squares based on least squares support vector machine primal-dualoptimization problem;基于最小二乘支持向量机对偶优化问题的核偏最小二乘
2.A new algorithm for solving inequality constraintoptimization problem;一种求解不等式约束优化问题的新算法
3.The Study and Empirical Analysis of Neural Network Methods for Optimization Problems;优化问题神经网络方法研究及实证分析
英文短句/例句
1.Particle swarm optimization for multi-objective programming problems求多目标优化问题的粒子群优化算法
2.Proposal of Hybrid Optimization Algorithm for Solving Multi-objective Optimization Problems一种多目标优化问题的混合优化算法
3.The analysis of KPI index optimization problem in GSM network optimizationGSM网络优化中KPI指标优化问题的分析
4.ON OPTIMALITY CONDITIONS IN INFINITE VECTOR OPTIMIZATION PROBLEMS;无穷维向量最优化问题的最优性条件
5.Effective Pareto Optimal Set of Multi-Objective Optimization Problems多目标优化问题的有效Pareto最优集
6.AFSA-BFGS hybrid algorithm of global optimum for optimization problems最优化问题全局寻优的AFSA-BFGS混合算法
7.A new method of convexification and concavification for a kind of global optimization;一类全局优化问题的新的凸化、凹化法
8.New Evolutionary Algorithms for Multiobjective Optimization Problems;解决多目标优化问题的几种进化算法
9.The Application of EC to Solve Search & Optimization Problems;演化计算在搜索与优化问题中的应用
10.Linearization Method for globally Solving A Kind of Optimization Problem;求一类优化问题全局解的线性化方法
11.Self-organization evolutionary algorithm for dynamic optimization problems求解动态优化问题的自组织进化算法
12.Research on Differential Evolution Algorithm for MOPs多目标优化问题的差分进化算法研究
13.Solving Shubert function optimization problem by using evolutionary algorithm一种求解Shubert函数优化问题的演化算法
14.A chaos optimization method is proposed for TSP.针对TSP问题,提出了一种用于解决组合优化问题的混沌优化算法。
15.Scheduling problem is an important combination optimization problem.排序问题是一类重要的组合最优化问题。
16.Definite Solution Problems of Fuzzy Differential Equations and a Fuzzy Optimization Problem;模糊微分方程的定解问题及模糊优化问题
17.A Study of Optimization Algorithms and Some Optimization Problems in Thermal Power Plants;优化算法及火电厂若干优化问题的研究
18.Optimization of the Solution to the Problems Simulated Annealing to Improve Particle Swarm Algorithm;模拟退火改进粒子群优化算法求解优化问题
相关短句/例句
optimization problem优化问题
1.Kernel partial least squares based on least squares support vector machine primal-dualoptimization problem;基于最小二乘支持向量机对偶优化问题的核偏最小二乘
2.A new algorithm for solving inequality constraintoptimization problem;一种求解不等式约束优化问题的新算法
3.The Study and Empirical Analysis of Neural Network Methods for Optimization Problems;优化问题神经网络方法研究及实证分析
3)optimization[英][,?ptimai"zei??n][美][,ɑpt?ma?"ze??n]优化问题
1.In this paper, a new generalized gradient projection method with inexact line search is proposed for the nonlinearoptimization problem with linear constraints.本文对线性约束优化问题提出了一个新的广义梯度投影法,该算法采用了非精确线性搜索,并在每次迭代运算中结合了广义投影矩阵和变尺度方法的思想确定其搜索方向。
2.For analysing and studing the characteristic and optimized mechanism of transient chaotic neural network,based on analysis of transient chaotic neuron model,through programming the simulation analysis in the Matlab software to compare the neural network dynamic characteristic and various parameters regarding the networkoptimization process influence.暂态混沌神经网络模型利用混沌所固有的随机性和轨道遍历性,在大范围内按其自身规律进行搜索,搜索过程按混沌轨道遍历,不受目标函数限制,从而具有克服陷入局部极小的能力可有效地解决一系列组合优化问题。
4)optimal problem优化问题
1.In this section of the paper,we summarize statistical simulation problem and provide the simulation algorithms of statistics distribution,large sample simulation,testing power,empirical simulation andoptimal problem,etc.本文概述了统计模拟问题,介绍了统计量分布函数模拟,大样本模拟,检验功效模拟,经济模拟及优化问题模拟等,给出了一些模拟实例。
5)spare parts optimize备件优化
1.Research on warship electronic equipmentsspare parts optimize model based on genetic algorithm and neural network;基于遗传算法和神经网络的舰船电子装备备件优化模型研究
6)optimization problems最优化问题
1.Research on Algorithm Pattern of Optimization Problems;最优化问题算法模式的研究
2.In this paper,the hausdorff distance between the epigraphs of the two functions defines the distance between object ice functions inoptimization problems.用函数的上图象之间的Hausdoff距离定义最优化问题目标函数间的距离。
3.It is given that a superlinearly convergent feasible direction method for solvingoptimization problems with lincar constraints.利用二次规划技术,给出线性约束最优化问题的一个超线性收敛的可行方向法。
延伸阅读
备件预备着供更换的机件。
