微粒群算法,particle swarm optimization英语短句,例句大全

微粒群算法,particle swarm optimization
1)particle swarm optimization微粒群算法
1.A Particle Swarm Optimization Approach for Optimum Design of PID Controller;基于微粒群算法优化PID参数研究
2.Research on Urban Bus Path Model Based on Particle Swarm Optimization;基于微粒群算法的城市公交线网模型研究
3.Study on the Particle Swarm Optimization Algorithm for Train Operation Adjustment;列车运行调整微粒群算法研究

英文短句/例句

1.Particle Swarm Optimization for Truss Structure Optimal Design;基于微粒群算法的桁架结构优化设计
2.Research on Oil Blending Optimization with Particle Swarm Optimization;基于微粒群算法的油品调合优化研究
3.Production Scheduling Method Based on Partticle Swarm Optimization Algorithm;基于微粒群算法的车间调度问题研究
4.The Study of Distribution Center Location Based on Particle Swarm Optimization Algorithm;基于微粒群算法的配送中心选址研究
5.The Study of Resource Equilibrium Based on Particle Swarm Optimization;基于微粒群算法的资源均衡问题研究
6.Rating and Generating Sudoku and It's Solution by PSO Algorithm数独的难度衡量、生成及微粒群算法
7.Hybrid Genetic Particle Swarm Optimization for CVRP求解CVRP问题的混合遗传微粒群算法
8.Parameter Identification of Induction Motor based on Particle Swarm Optimization Algorithm基于微粒群算法的感应电机参数辨识
9.Research on Image Enhancement Based on Particle Swarm Optimization基于微粒群算法的彩色图像增强研究
10.A Hybrid Genetic Particle Swarm Optimization for TSP求解TSP问题的混合遗传微粒群算法
11.A Hybrid Hook-Jeveese Search and Improved Particle Swarm Optimization MethodHook-Jeveese搜索法和改进的微粒群算法的混合算法
12.Grid based dynamic particle population particle swarm optimization一种基于栅格的动态粒子数微粒群算法
13.Study on Adaptive Modulation based on GA and PSO基于遗传算法和微粒群算法的自适应调制研究
14.Principle of Particle Swarm Optimization Algorithm and Applications in Civil Engineering微粒群算法原理及改进算法在土木工程中应用
15.Extending the Particle Swarm Optimization to Model Animal Foraging Behaviour改进的微粒群算法模拟动物的群体觅食行为
16.Optimal operation of cascade reservoirs based on improved particle swarm optimization algorithm基于改进微粒群算法的梯级水库群优化调度
17.Particle Swarm Optimizer with Shuffled Subpopulations Mutation and Its Application基于子群混合与变异的微粒群算法及其应用
18.Identification of Structural System Based on Particle Swarm Optimization;基于微粒群优化算法的结构系统识别

相关短句/例句

PSO微粒群算法
1.APPLICATION OF PSO IN OPTIMAL DESIGN OF HOT OIL PIPELINE;应用混合微粒群算法优化设计热油管道
2.Solution of Flow Shop Scheduling Problem Based on PSO;微粒群算法的置换Flow-Shop调度问题
3.Texture synthesis image completion based on PSO;基于微粒群算法的纹理合成图像修补方法
3)particle swarm optimization algorithm微粒群算法
1.Fire detection based on fuzzy neural network combined with particle swarm optimization algorithm;基于微粒群算法和模糊神经网络的火灾探测研究
2.A discrete particle swarm optimization algorithm for task assignment problem;求解任务分配问题的一种离散微粒群算法
3.Study on grid workflow scheduling model based on particle swarm optimization algorithm;基于微粒群算法的网格工作流优化调度问题的研究
4)Particle swarm optimization(PSO)微粒群算法
1.This paper systematically introduces and analyzes the background,the principle,process and parameters of particle swarm optimization(PSO) algorithm,and their influence on optimization performance of PSO.微粒群算法(PSO)是继蚁群算法提出之后的又一种新的进化计算技术。
2.The Particle Swarm Optimization(PSO) is an evolutionary computational method,which may be conveniently employed to execute random and global search.微粒群算法(PSO)是新近出现的一种仿生算法,具有简单容易实现,而且随机搜索的优点,使得搜索不易陷于局部最优。
3.To resolve this problem,a new GMM optimization method was proposed based on Particle Swarm Optimization(PSO).为了解决传统高斯混合模型(GMM)对初值敏感,在实际训练中极易得到局部最优参数的问题,提出了一种采用微粒群算法优化GMM参数的新方法。
5)particle swarm algorithm微粒群算法
1.Life-span prediction on mechanical products of GM(1,1,λ)model based on particle swarm algorithm;基于微粒群算法的GM(1,1,λ)模型的机械产品寿命预测
2.Optimization design of adaptive IIR filter based on particle swarm algorithm;基于微粒群算法的自适应IIR滤波器的优化设计
3.Dynamic adjusting modified particle swarm algorithm;一种动态调整的改进微粒群算法
6)PSO algorithm微粒群算法
1.PSO algorithm and other evolutionary algorithms have many similarities.微粒群算法是基于群体智能理论的优化算法,通过群体中粒子间的合作与竞争产生的群体智能指导优化策略。
2.Integrated analysis these heuristic algorithms, we give PSO algorithmto solving Sudoku in chapter 5.本文从三个方面,即数独的难度衡量、生成,以及数独的微粒群算法研究数独。
3.This essay adopts the PSO algorithm to solve the problem of multi-resource leveling optimization in civil engineering.引入微粒群算法建立了以各工序实际开始时间作为微粒坐标的微粒群计算模型,并对相关参数及工程多资源均衡问题进行了分析,结合算例验证了该方法在工程多资源均衡优化中的可行性和有效性。