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Description: this code is PSO algorithm. work with this GA very simple.particle swarm optimization.
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Size: 1024 |
Author: rezanasiripour |
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Description: 遗传算法和粒子群算法的工具箱，里面包含一些基本的知识，适用于初学者-Genetic algorithm and particle swarm optimization toolbox, which contains some basic knowledge for beginners
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Size: 988160 |
Author: 陈愉 |
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Description: matlab预测程序集合，适用于数学建模大赛，直接数据导入就可以用。包括灰色模型预测程序2个，gm10，greymodel，高斯混合模型mixture_of_gaussians，以及BP神经网络优化模型，遗传算法优化，Genetic，粒子群算法优化，PSO-Matlab to predict collection, suitable for mathematical modeling contest, data import can use directly. Including gray model forecasting program 2, gm10, greymodel, mixture_of_gaussians gaussian mixture model, optimization model and BP neural network, Genetic algorithm (ga) optimization, based, optimization of particle swarm optimization (PSO), PSO
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Size: 7168 |
Author: Lisa |
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Description: 将蚁群优化算法与粒子群优化算法进行组合，并利用遗传算法的交叉操作与变异操作对粒子多样性进行改进，提高全局优化效率，并配有实例演示。-The ant colony optimization algorithm and the particle swarm optimization algorithm are combined, and the genetic algorithm is used to improve the diversity of the particles.
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Size: 4096 |
Author: 罗俊睿 |
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Description: 粒子群优化和遗传算法混合编程, -GA and PSO mixed program
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Size: 139264 |
Author: 代立波 |
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Description: A Performance Comparison of PSO and GA Applied to TSP
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Size: 879616 |
Author: ss |
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Description: 这是一种遗传算法和BP网络结合的算法，粒子群和BP网络，这两种算法进行结果比对。(This is a genetic algorithm and BP network combination algorithm, particle swarm and BP network, the two algorithms for results comparison.)
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Size: 3072 |
Author: 斯坦福01
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Description: genetic and iwo algorithm in matlab with binary method
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Size: 7168 |
Author: javad123
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Description: 算法优化，包括粒子群算法，遗传算法以及多种神经网络(optimization algrithm,include PSO algrithm GA and other kind algrithm ,and many kinds of Nural network)
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Size: 1571840 |
Author: 挖宝额
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Description: initial population algorithm
main loop algorithm
results algorithm
PSOpop=PSOfunc
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Size: 2048 |
Author: SAADATYAR
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Description: 受帝国主义殖民竞争机制的启发，Atashpaz-Gargari和Lucas于2007年提出了一种新的智能优化算法—帝国竞争算法 (ICA)。与GA, PSO, ABC等受生物行为启发的群智能算法不同，ICA受社会行为启发，通过摸拟殖民地同化机制和帝国竞争机制而形成的一种优化方法。ICA也是一种基于群体的优化方法，其解空间由称为国家的个体组成。ICA将国家分为几个子群，称为帝国。在每个帝国内，ICA通过同化机制使非最优的国家(殖民地)向最优国家(帝国主义国家)靠近，该过程类似于PSO。帝国竞争机制是ICA的关键，ICA通过帝国竞争机制将最弱帝国中的一个或多个殖民地移动到其他帝国，使帝国之间可以进行信息交互。(Inspired by the imperialist colonial competition mechanism, Atashpaz-Gargari and Lucas proposed a new intelligent optimization algorithm, Empire competition algorithm (ICA), in 2007. With GA, PSO, ABC and other biological behavior of swarm intelligence algorithm inspired by social behavior, ICA heuristic, an optimization method is formed by simulation of colonial assimilation mechanism and competition mechanism of the empire. ICA is also a swarm based optimization approach whose solution space consists of individuals called states. ICA divides the country into several subgroups, called empires. Within each Empire, ICA moves the non optimal country (colony) to the best country (the imperialist state) through the assimilation mechanism, which is similar to PSO. Imperial competition is the key to ICA, and ICA moves one or more colonies of the weakest Empire to other empires through imperial competition, allowing the Empire to interact with each other.)
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Size: 16384 |
Author: xzfff
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Description: GA GA and PSO algorithm matlab program combined ion group When doing optimization, first choose the GA algorithm, but the instability of the GA (or into a local optimum) it drives people crazy, even after twice the
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Size: 16384 |
Author: dishore
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Description: 在参加数学建模的过程中，对非线性规划问题进行了系统的整理，包括MPGA算法、GA算法、pso算法、QGA算法，对其优劣性进行了排序；(In the process of participating in mathematical modeling, we systematically sorted out the nonlinear programming problems, including MPGA algorithm, GA algorithm, PSO algorithm and QGA algorithm, and sorted the advantages and disadvantages of them)
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Size: 12288 |
Author: 倚楼天狼啸 |
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Description: 学术实验，云环境下的任务调度算法，基于遗传算法与粒子群算法相结合的调度算法(Task Scheduling Algorithm Based on DO-GAPSO Under Cloud Environment,Academic experiment,it is used to verify the effect of the experiment.)
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Size: 9216 |
Author: xiong1 |
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Description: 人工蜂群算法自2005年被Karaboga等人提出以来，以其操作简单、参数少、易于编程实现、收敛速度快等特点而受到越来越多的关注。2007年，Karaboga【2007】使用人工蜂群算法对多变量函数进行优化，并对由人工蜂群算法（ABC），遗传算法（GA），粒子温度算法（PSO）和粒子温度灵敏演化算法（PS-EA）产生的结果进行了比较。 结果表明，人工蜂群算法优于其他算法。2009年，Karaboga【2009】使用人工蜂群算法优化大量的数值函数，并对由人工蜂群算法（ABC），遗传算法（GA），粒子温度算法（PSO），差分演化算法（DS）和进化策略（ES）产生的结果进行了比较。 结果表明，人工蜂群算法因其控制参数少、操作简群算单优于或类似于其他算法。(Artificial Bee Colony (ABC) algorithm (Dervis Karaboga 2005 [1]; Karaboga and Basturk 2009[2]), simulating the intelligent social behavior of a group of bees, aims to solve the numerical optimization problem in a given condition. Many scientific theories and engineering applications in real life can be attributed to the numerical optimization problem. For applications where there is no optimal solution or approximate solution, ABC optimization algorithm can show its advantages in a short period of time and give it a term that can be terminated at any time. Initializing a set of random solution at the very beginning and searching the optimization value with iteration according to candidate solutions generated by a certain strategy, ABC algorithm solves the problems effectively and efficiently. Due to these advantages, ABC optimization algorithm has been increasingly popular since it has been proposed by Dervis Karaboga in 2005 [1].)
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Size: 9216 |
Author: Becky7163 |
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Description: 多种智能算法matlab源程序，即有一些常用的算法，也有一些新颖的算法，用于求解优化问题。包括PSO（粒子群优化算法）,GA（遗传算法）,DE（差分进化算法）,GWO（灰狼优化算法）,FA（萤火虫优化算法）,IWD算法,MBO（帝王蝶优化算法）,SBO（序列最小优化）,SOS（共生生物搜索算法）,WEO算法,BBKH算法,BBBC算法
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Size: 41143 |
Author: ellen5111@126.com |
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Description: 近红外光谱(NIRS)是一种间接分析技术,其应用需建立相应的校正模型。为了提高模型的解释能力、预测准确度和建模效率,需要对NIRS 进行波长选择,优选最小化冗余信息。选用蚁群优化(ACO)、遗传优化(GA)、粒子群优化(PSO)、随机青蛙(RF)和模拟退火(SA)5 种智能优化算法对烟叶总氮和烟碱近红外光谱数据进行特征波长选择,结合偏最小二乘(PLS)算法,构建了多个烟叶总氮和烟碱的校正模型,(Near infrared spectroscopy (NIRS) is an indirect analytical technique, and its application needs to establish corresponding correction models. In order to improve the explanatory power of the model Power, prediction accuracy and modeling efficiency require wavelength selection of NIRS to optimize and minimize redundant information. Five intelligent optimization algorithms for smoke control: group optimization (ACO), genetic optimization (GA), particle swarm optimization (PSO), random frog (RF) and simulated annealing (SA)Leaf total nitrogen and nicotine near infrared spectroscopy data were selected as characteristic wavelengths. Combined with partial least squares (PLS) algorithm, several tobacco leaf total nitrogen and nicotine were constructed.)
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Size: 12073984 |
Author: weidong123 |
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Description: 基于遗传算法与粒子群算法的相机标定程序，值得借鉴(The camera calibration program based on genetic algorithm and particle swarm optimization is worthy of reference)
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Size: 6144 |
Author: 打你你 |
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Description: 粒子群优化算法，弥补pso全局搜能力差，GA局部搜索能力差的不足(Particle Swarm Optimization (PSO) can make up for the deficiencies of poor global search ability of PSO and poor local search ability of GA.)
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Size: 2048 |
Author: 江专一 |
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Description: minmin算法，适用于任务调度，可以与GA以及PSO等进行比较，是最基础的算法。(Minmin algorithm is suitable for task scheduling.)
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Size: 4096 |
Author: 蜡笔小新冲冲 |
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