1)discrete particle swarm optimization离散粒子群优化算法
1.The discrete particle swarm optimization algorithm is improved and a clone selection particle swarm optimization algorithm is proposed.对离散粒子群优化算法(DPSO)进行了改进,提出一种克隆选择粒子群算法(CSDPSO)。
2.According to discrete particle swarm optimization(DPSO) and combining DPSO with the mutation operator of the genetic algorithm,a new discrete particle swarm optimization(NDPSO) algorithm is proposed.在离散粒子群算法的基础上,结合遗传算法中的变异算子,提出了一种新的离散粒子群优化算法,进而设计了一种使用新的离散粒子群优化算法和并行干扰抵消算法相结合的垂直分层空时系统检测方法。
英文短句/例句
1.Discrete particle swarm optimization for RNA secondary structure prediction预测RNA二级结构离散粒子群优化算法
2.Discrete Particle Swarm Algorithm-based Grid Task Allocation;基于离散粒子群优化算法的网格任务调度方法
3.Solving Rectangular Packing Problem Based on Discrete Particle Swarm Optimization Algorithm;基于离散粒子群优化算法求解矩形件排样问题
4.Feature Selection for the Stored-grain Insects Based on Distributed Particle Swarm Optimization基于离散粒子群优化算法的储粮害虫特征选择
5.A Study of an Improved Discrete Particle Swarm Optimization Algorithm for a Single Batch-processing Machine with Non-identical Job Sizes差异工件单机批调度问题的离散粒子群优化算法研究
6.An Efficient Discrete Particle Swarm Optimization Algorithm for Multi-Criteria Minimum Spanning Tree一种求解多目标最小生成树问题的有效离散粒子群优化算法
7.Study of Particle Swarm Optimization in Discrete Optimization Problem;粒子群算法在离散优化问题中的研究
8.Goods Location Assignment Optimization of AVS/RS Based on Discrete Particle Swarm Optimization基于离散粒子群算法的AVS/RS货位优化
9.Multiple optimization strategies for improving hybrid discrete particle swarm改进混合离散粒子群的多种优化策略算法
10.OPTIMAL DESIGN OF PLATE STRUCTURES WITH DISCRETE VARIABLES BASED ON PARTICLE SWARM OPTIMIZERS基于粒子群算法的板结构离散优化设计
11.Research on Discrete Particle Swarm and Its Application in Optimization Problems;离散粒子群算法的改进研究及其在优化问题中的应用
12.Research on the Optimal Capacitor Placement Problem Based on an Improved Discrete Particle Swarm Optimization Algorithm基于改进离散粒子群算法的配电网电容器优化配置研究
13.Modified Discrete Particle Swarm Optimization Algorithm and Its Application in Optimal Combination Stacks of Steel Roll改进离散粒子群算法及其在钢卷优化组合中的应用
14.Modified discrete Particle Swarm Optimization algorithm for Mixed model assembly line sequencing混流装配线排序的改进离散微粒群优化算法
15.Method of discretization of continuous attributes based on rough set and Particle Swarm Optimization粗糙集与粒子群算法结合的属性离散化方法
16.Using Particle Swarm Optimization Algorithm to Calculate the Minimum Distance from Point to Complex Surface用粒子群优化算法计算点到复杂曲面最短距离
17.Optimization of Polypeptides Separation Condition Based on Improved Particle Swarm Optimization Algorithm;基于改进粒子群算法的多肽分离条件的优化
18.Solving the Rectangle Packing Problem of the Discrete Particle Swarm Algorithm求解矩形排样问题的离散粒子群算法
相关短句/例句
discrete particle swarm optimization algorithm离散粒子群优化算法
1.Solving Rectangular Packing Problem Based on Discrete Particle Swarm Optimization Algorithm;基于离散粒子群优化算法求解矩形件排样问题
3)discrete binary version of particle swarm optimization algorithm离散二进制粒子群优化算法
4)discrete particle swarm optimization离散粒子群优化
1.A discrete particle swarm optimization algorithm was designed to tackle the permutation flowshop scheduling problem(PFSP).提出了一种求解置换流水车间调度问题的离散粒子群优化算法。
2.A new improved discrete particle swarm optimization algorithm is designed to tackle the Traveling Salesman Problem.针对旅行商问题,提出了一种改进的离散粒子群优化算法,根据优化问题及离散量的特点,对粒子的速度、速度的相关运算规则和粒子的运动方程进行了重新定义,为防止算法的早熟停滞现象,提出用扰动速度来增加粒子群的多样性,为提高算法的求精能力,设计了一种高效的近邻搜索算子来提高粒子的适应值,使算法在空间探索和局部精化间取得了很好的平衡。
3.A discrete particle swarm optimization algorithm is designed to tackle the Traveling Salesman Problem.以旅行商问题为例,提出了一种离散粒子群优化算法,根据优化问题及离散量的特点,对粒子的位置、速度等量及其运算规则进行了重新定义,为抑制早熟停滞现象,为粒子和粒子群分别定义了个体多样性和微观多样性,算法中定义了排斥算子来保持粒子群的多样性,使用高效的学习算子来提高算法的局部求精能力,使算法在空间探索和局部求精间取得了很好的平衡,与领域中的其它典型算法进行了仿真比较,结果表明,离散粒子群优化算法具有很好的性能。
5)discrete particle swarm optimization离散粒子群算法
1.To deal with the problem of premature convergence and slow search speed of DPSO(discrete particle swarm optimization),this paper proposes a novel hybrid discrete particle swarm optimization (HDPSO),which integrates the disturbance methods to help the particle escape from the local minima and the local algorithm PSEC to speed up the reach.重新定义了离散粒子群算法DPSO的速度和位置公式,使其适宜求解离散问题。
2.A discrete particle swarm optimization(DPSO) algorithm was put forward for multi-UCAV cooperation mission assignment problem.针对多UCAV协同目标分配问题,提出了一种基于离散粒子群算法的多UCAV协同目标分配方法。
3.This paper introduces a modified discrete particle swarm optimization(DPSO) which deals with linear order problem(LOP).提出一种优化线性顺序问题的简便的离散粒子群算法。
6)dispersed particle swarm optimization离散粒子群算法
1.In order to improve the performance of Multi-User Detection technology and the local search capability of particle swarm optimization (PSO), clone selection algorithm (CS) is combined with traditional dispersed particle swarm optimization (DPSO), and a new advanced self-adaptation clone selection particle swarm optimization (ACSPSO) is proposed and used in Multi-User Detection.为了提高多用户检测技术的性能,改善粒子群算法的局部搜索能力,将克隆选择算法(CS)和传统离散粒子群算法(DPSO)相结合,文中提出一种改进的自适应克隆选择粒子群优化算法(ACSPSO),并用于多用户检测。
延伸阅读
离散PID控制算法分子式：CAS号：性质：在用计算机等作为控制装置进行数字控制时实现PID控制作用的数学表示式。在数字控制中，控制装置只取各个采样时刻的输入变量值进行运算，如偏差值e(k)为第k个采样时刻的设定值r(k)与被控变量测量值y(k)的差值。离散PID控制有位置算法、增量算法与速度算法三种形式。(1)位置算法直接给出各采样时刻的控制作用量2J(是)，具体算法是:式中，Kc为比例增益，Ti为再调时间，Td为预调时间，Δt为采样周期。这里用叠加代替积分，差分代替微分。位置算法的输出可直接送往数字式执行器，或经数字/模拟转换送往模拟式执行器，并须用保持器将该信号保持到下一次采样为止。在手动一自动切换和防止积分饱和问题上，位置算法不像另两类算法那样方便。(2)增量算法给出每个采样时刻控制装置输出应改变的数值Δu(k)，即第k个采样时刻的控制作用量u(k)与前一采样时刻的控制作用量u(k-1)之间的差值，具体算法是： 增量算法的输出一般通过步进电机等累积机构，化为模拟量，操纵控制阀。该种算法具有手动一自动切换方便，和避免引起积分饱和等优点，应用最广。(3)速度算法给出在各个采样时刻控制装置输出应采取的变化速v(k)，该速度用Δu(k)/Δt近似表示，具体算式为:速度算法的输出应送往积分式执行机构。速度算法也有手动一自动切换方便和避免引起积分饱和的优点。
