Search - particle swarm optimization

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[AI-NN-PR] 粒子群优化算法介绍 DL : 0: 粒子群优化算法介绍,PSO(Particle Swarm Optimization)-PSO algorithm, the PSO (Particle Swarm Optimization)
Date : 2025-12-30 Size : 150kb User : 原野
[AI-NN-PR] 多维函数优化程序 DL : 0: 用JAVA语言编写，包括PSO（Particle swarm optimization, 中文译名为粒子群优化或微粒群算法), DE (Differential evolution, 中文译名为差分进化或差异演化)等算法，有一些不带约束和带约束的算例（如Michelawicz的几个问题）。使用说明见usage.txt、RUNExample.bat和程序中的注释。 -with Java language, including the PSO (Particle swarm optimization, the Chinese translation of PSO or PSO algorithm), DE (Differential evolution, the Chinese translation of the difference or differential evolution evolution) algorithm, a number of non-binding and binding with the examples (such as the several issues Michelawicz ). Use see usage.txt, RUNExample.bat and procedures of the Notes.
Date : 2025-12-30 Size : 125kb User : 刘三
[AI-NN-PR] Cheap_PSO DL : 0: C语言开发的微粒群优化算法源程序，程序用到了多个测试函数：包括Rosenbrock 函数等，操作时首先打开文件选择一个函数，然后点击计算就可以了。-C language development Particle Swarm Optimization algorithm source, a number of procedures used test functions : Functions include Rosenbrock, the first operation of a choice open file function, Then click on the calculation.
Date : 2025-12-30 Size : 76kb User : zhangtao
[AI-NN-PR] CDAPSO DL : 2: 一种新的随机优化技术:基于群落动态分配的粒子群优化算法(Community Dynamic Assignation-based Particle Swarm Optimization,CDAPSO)。新算法通过动态改变粒子群体的组织结构和分配特征来维持寻优过程中启发信息的多样性,从而使其全局收搜索能力得到了显著提高,并且能够有效避免早熟收敛问题。-a new stochastic optimization techniques : Community-based dynamic allocation of PSO algorithm (Dynamic Community Assigna tion-based Particle Swarm Optimization, CDAPSO). New Algorithm for dynamic change particle group's organizational structure and distribution to maintain the optimization process enlightening information diversity, thus the overall admission search capability has been significantly improved, and can effectively prevent premature convergence.
Date : 2025-12-30 Size : 6kb User : wuyuqian
[AI-NN-PR] 25811237PSOGA DL : 0: 粒子群算法与遗传算法用于优化的问题求解,可以解决一些-Particle Swarm Optimization and Genetic Algorithms for optimization problem solving, you can solve some
Date : 2025-12-30 Size : 95kb User : tiger
[AI-NN-PR] pso DL : 1: 此程序包是用粒子群算法来求16个经典函数的最小最大值，其中界面友好，运行时会出现动态二维图来展现粒子群是如何运动来求最值的-This package is used for particle swarm optimization to 16 classic function of the smallest maximum value, in which user-friendly, run-time dynamic two-dimensional map will appear to show how the particle swarm movement to seek the most value
Date : 2025-12-30 Size : 736kb User : 梁锦兆
[AI-NN-PR] pso-souceCode-C++Version DL : 0: 一个粒子群优化(PSO)算法的C++版本的源代码。-A particle swarm optimization (PSO) algorithm C++ Version of the source code.
Date : 2025-12-30 Size : 2kb User : KTGG
[AI-NN-PR] psoc DL : 0: 微粒子群算法的C实现，实现的是基本微粒群算法，微粒群算法是一种基于群智能方法的演化计算技术，本算法实现容易，收敛速度快-Microparticle Swarm C realize, realize that the basic particle swarm optimization, particle swarm optimization is a group of intelligent methods based on the evolution of computing technology, easy to realize this algorithm, fast convergence
Date : 2025-12-30 Size : 6kb User : 小淘
[AI-NN-PR] vc_pso DL : 1: vc_pso是用VC开发的标准粒子群算法-VC Development vc_pso is the standard particle swarm optimization
Date : 2025-12-30 Size : 13kb User : huanghubang
[AI-NN-PR] PSO DL : 0: 一本介绍微粒群算法的书籍,详细介绍算法的原理.-Introduce a particle swarm optimization book, detailing the principles of algorithm.
Date : 2025-12-30 Size : 1.91mb User : 刘雁飞
[AI-NN-PR] PSOvrp DL : 0: 利用粒子群算法求解VRP问题程序，其中和禁忌搜索算法结合成混合算法求解，-The use of particle swarm optimization procedure for solving VRP problems, including tabu search algorithm and combined into a hybrid algorithm,
Date : 2025-12-30 Size : 4.65mb User : zcx
[AI-NN-PR] vc_pso DL : 0: vc++版本的粒子群优化算法程序,该算法使用简单,收敛快速,是遗传算法之后的又一重要智能算法.-vc++ version of particle swarm optimization procedure, the algorithm uses a simple, rapid convergence, after the genetic algorithm is another important intelligent algorithm.
Date : 2025-12-30 Size : 12kb User : 江南
[AI-NN-PR] psot DL : 1: 粒子群算法工具箱该工具箱将PSO算法的核心部分封装起来，提供给用户的为算法的可调参数，用户只需要定义好自己需要优化的函数(计算最小值或者最大值)，并设置好函数自变量的取值范围、每步迭代允许的最大变化量(称为最大速度，Max_V)等，即可自行优化。-Particle Swarm Optimization Toolbox of the Toolkit will be the core of the PSO algorithm package, and made available to the user adjustable parameters for the algorithm, users only need to define their need to optimize the function (calculation of the minimum or maximum), and set good function from the range of variables, each iteration step the maximum allowable variation (known as maximum speed, Max_V) and so on, can self-optimize.
Date : 2025-12-30 Size : 801kb User : 张鹤峰
[AI-NN-PR] DPSO DL : 0: 求解TSP问题的动态邻域粒子群优化算法（论文）-Solving dynamic TSP problem Neighborhood Particle Swarm Optimization (Thesis)
Date : 2025-12-30 Size : 202kb User : 清水
[AI-NN-PR] PSO DL : 1: PSO算法,粒子群优化算法,VC界面实现-PSO algorithm, particle swarm optimization algorithm, VC interface
Date : 2025-12-30 Size : 283kb User : 有偿编程，挣点生活费
[AI-NN-PR] qpso DL : 1: 量子粒子群优化算法，采用matlab编程，可实现快速优化多维函数，不易陷入局部最优值。-Quantum particle swarm optimization algorithm, using matlab programming, can be optimized for fast multi-dimensional functions, not easily trapped into local optimal values.
Date : 2025-12-30 Size : 1kb User : 李志远
[AI-NN-PR] pos DL : 0: 用C++编写的一个粒子群算法，供大家分享，希望能给你帮助。-With C++ Prepared a Particle Swarm Optimization for everyone to share, hope that I can help you.
Date : 2025-12-30 Size : 16kb User : 李冲
[AI-NN-PR] PSO_synthesis DL : 4: 粒子群优化算法用于天线阵列方向图综合，自己编写的源代码，使用标准粒子群优化算法-Particle swarm optimization algorithm for antenna array pattern synthesis, I have written the source code, using the standard particle swarm optimization algorithm
Date : 2025-12-30 Size : 5kb User : 许留山
[AI-NN-PR] 7941925pos DL : 0: 粒子群的优化算法，不仅可以方便地解决无约束优化问题，也可以方便的解决有约束的非线性优化问题。-Particle Swarm Optimization algorithm, not only can easily solve the unconstrained optimization problem can also be convenient to solve constrained nonlinear optimization problem.
Date : 2025-12-30 Size : 5kb User : lxd
[AI-NN-PR] Particle-Swarm DL : 0: 粒子群算法在离散问题中的应用。这里主要是在TSP问题中的应用。-Discrete Particle Swarm Optimization Problems. Here the main problem in the application of TSP.
Date : 2025-12-30 Size : 5.17mb User : 李洁

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