Search - speed particle swarm optimization

Search - speed particle swarm optimization - List

[matlab] quickparticleswarm DL : 0: 改进粒子群算法。较好的全局收敛性。较快的速度。-Improvement of Particle Swarm Optimization. Better global convergence. Faster speed.
Date : 2026-01-08 Size : 24kb User : 李刚
[matlab] liziqun DL : 0: 本程序采用粒子群算法进行计算，粒子群具有速度快的特点。-This procedure is calculated using the particle swarm optimization, PSO has the characteristics of speed.
Date : 2026-01-08 Size : 1kb User : 里
[matlab] PSO DL : 0: 一般粒子群算法，可以解决一般的优化问题，有较好的收敛性和计算速度。-General particle swarm algorithm to solve optimization problems in general, better convergence and calculation speed.
Date : 2026-01-08 Size : 57kb User : 曾建
[matlab] pso_chen DL : 0: 自己编写的matlab微粒群算法工具箱。微粒群算法（pso）是一种人工智能算法，速度比遗传算法快一些。-I have written matlab PSO toolbox. Particle swarm optimization (pso) is an artificial intelligence algorithm, the speed faster than the genetic algorithm.
Date : 2026-01-08 Size : 8kb User : chen
[matlab] PSO-and-PSOEM-simulation DL : 1: 基于扩展记忆的粒子群优化算法（Particle Swarm Optimization based on memory）-This paper combines SVM with improved PSO (Particle Swarm Optimization with Extended Memory, PSOEM) and then builds PSOEM-SVM forecasting model. The PSOEM searches the solution space intelligently and finds out the best one. Parameters in SVM are optimized by PSOEM, which implements automation of the parameter optimization avoiding the blindness of selecting parameters. Not only does it utilize the generalization feature of SVM, but enhance the global search ability of PSO (Particle Swarm Optimization). Thus, both accuracy and speed are increased at the same time.
Date : 2026-01-08 Size : 12kb User : 朱盼盼
[matlab] pso-with-limitation DL : 0: 带有速度限制和种群限制的粒子群优化算法程序。matlab编写。-Populations with speed limits and restrictions on particle swarm optimization algorithm. matlab prepared.
Date : 2026-01-08 Size : 1kb User : 姜夏
[matlab] PSO-0.3-1-src DL : 0: This document introduces the Particle Swarm Optimization (PSO) in Scilab. The PSO method, published by Kennedy and Eberhart in 1995, is based on a population of points at first stochastically deployed on a search field. Each member of this particle swarm could be a solution of the optimization problem. This swarm flies in the search field (of D dimensions) and each member of it is attracted by its personal best solution and by the best solution of its neighbours. Each particle has a memory storing all data relating to its flight (location, speed and its personal best solution). It can also inform its neighbours, i.e. communicate its speed and position. This ability is known as socialisation. For each iteration, the objective function is evaluated for every member of the swarm. Then the leader of the whole swarm can be determined: it is the particle with the best personal solution. The process leads at the end to the best global solution.
Date : 2026-01-08 Size : 102kb User : ahmad
[matlab] Optimization-algorithm-of-PSO DL : 0: 粒子群算法（PSO）是一种基于群体的随机优化技术。与其它基于群体的进化算法相比，它们均初始化为一组随机解，通过迭代搜寻最优解。不同的是：进化计算遵循适者生存原则，而PSO模拟社会。将每个可能产生的解表述为群中的一个微粒，每个微粒都具有自己的位置向量和速度向量，以及一个由目标函数决定的适应度。所有微粒在搜索空间中以一定速度飞行，通过追随当前搜索到的最优值来寻找全局最优值。 -Particle swarm optimization (PSO) is a kind of stochastic optimization technique based on population. Compared with other evolutionary algorithms based on the group, they are initialized to a set of random solutions. The difference is: follow the principle of survival of the fittest evolutionary computation, and PSO simulation of society. Each of the possible solutions is expressed as a particle in the swarm, each particle has its own position vector and velocity vector, and the fitness of a target is determined by the target function. All particles in the search space to a certain speed, by following the current search to find the optimal value to find the global optimal value.
Date : 2026-01-08 Size : 3kb User : Wang
[matlab] pso DL : 1: 针对普通粒子群算法改进，通过改进惯性权值的下降速度，加快收敛速度。-For ordinary particle swarm optimization improved by improving the rate of decline inertia weight, speed up the convergence.
Date : 2026-01-08 Size : 5kb User : 袁杰
[matlab] GAPSO DL : 1: 基于遗传交叉算法的改进的混沌粒子群优化算法，收敛速度快，精度高-The improved chaotic particle swarm optimization algorithm based on genetic crossover algorithm has high convergence speed and high precision
Date : 2026-01-08 Size : 1kb User : 李铎
[matlab] QPSO DL : 0: 量子粒子群优化算法以量子力学原理为基础，用波函数描述粒子的运动状态，通过测量操作引导粒子搜索全局最优解。量子系统的不确定性决定了粒子能够以一定的概率出现在整个可行域内，克服了粒子群优化算法因为粒子速度的限制，使粒子只能限定在某个局部区域的问题。(Quantum particle swarm optimization (QPSO) algorithm is based on the principle of quantum mechanics. The wave function is used to describe the motion state of particles, and the particles are searched for global optimal solution by measuring operation. The quantum system is decided by the uncertainties of particles with a certain probability in the whole feasible region, to overcome the particle swarm optimization algorithm for particle speed limit, so that the particles can only be limited in a local region of the problem.)
Date : 2026-01-08 Size : 1kb User : 舒逸流风
[matlab] Abat_algorithm DL : 1: 粒子群算法改进的自适应蝙蝠算法,具有很好的收敛速度和收敛精度(Improved adaptive bat algorithm based on particle swarm optimization has good convergence speed and convergence accuracy.)
Date : 2026-01-08 Size : 1kb User : 尛
[matlab] SVM_Short-term-Load-Forecasting2 DL : 0: 本文采用最小二乘支持向量机（LSSVM）模型，根据浙江台州某地区的历史负荷数据和气象数据，分析影响预测的各种因素，总结了负荷变化的规律性，对历史负荷数据中的“异常数据”进行修正，对负荷预测中要考虑的相关因素进行了归一化处理。LSSVM中的两个参数对模型有很大影响，而目前依然是基于经验的办法解决。对此，本文采用粒子群优化算法对模型参数进行寻优，以测试集误差作为判决依据，实现模型参数的优化选择，使得预测精度有所提高。实际算例表明，本文的预测方法收敛性好、有较高的预测精度和较快的训练速度。(this paper adopted particle swarm optimization algorithm to optimized the model parameters, make the test set error as the judgments, realized the optimization of model parameters, maked prediction accuracy improved. Practical examples show that convergence of prediction method was pefect, had a higher prediction accuracy and fast training speed.)
Date : 2026-01-08 Size : 1.52mb User : `yangliulang
[matlab] SAPSO DL : 0: 粒子群改进算法,基本粒子群算法，加快粒子群算法效率(Particle swarm optimization algorithm, particle swarm optimization algorithm to speed up the efficiency of particle swarm optimization algorithm)
Date : 2026-01-08 Size : 1kb User : 叶子0010
[matlab] 新建 360压缩 ZIP 文件 DL : 0: 基于粒子群算法求解低速车辆模型的非线性模型预测控制问题(The nonlinear model predictive control problem of low-speed vehicle is solved based on particle swarm optimization (pso))
Date : 2026-01-08 Size : 2kb User : L_F
[matlab] PSO_byself.m DL : 0: 粒子群算法求解约束多目标优化万能matlab代码。本代码是基于有约束条件的寻优问题，采用APSO可以加快寻优的速度，修改参数比较简单，目标函数和上下限根据自身的需要进行改动，，可以实现目标函数的寻优(Particle swarm algorithm for solving constrained multi-objective optimization universal matlab code. This code is based on the optimization problem with constraints. Using APSO can speed up the optimization process. It is relatively simple to modify the parameters. The objective function and the upper and lower limits are changed according to their own needs. The optimization of the objective function can be achieved.)
Date : 2026-01-08 Size : 2kb User : 银河系苏小青
[matlab] 改进pso DL : 0: 多种方式改进的粒子群算法可以提高算法的收敛性以及收敛速度(The improved particle swarm optimization algorithm can improve the convergence and convergence speed of the algorithm)
Date : 2026-01-08 Size : 37kb User : 逐风者的幸福