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Description: 工程优化的一种新型pso算法。 A hybrid particle swarm optimization algorithm for the vehicle routing problem.pdf
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Author: zjllogic@126.com |
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Description: 连续型粒子群算法的java实现，可以自己设计粒子群算法（继承Swarm和Particle类），包含有三个个抽象类（Swarm、Particle、Problem），可以继承Problem类自定义新的问题。-continuous particle swarm algorithm to achieve the java can design their own PSO algorithm (inheritance and Particle Swarm), contains an abstract category 3 (Swarm, Particle, Problem), can be inherited from the definition of Class Problem new problems.
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Author: 杨 |
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Description: 粒子群优化算法介绍,PSO(Particle Swarm Optimization)-PSO algorithm, the PSO (Particle Swarm Optimization)
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Author: 原野 |
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Description: 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.
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Size: 128000 |
Author: 刘三 |
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Description: 微粒群算法，c语言编写，通过优化，可以自己添加测试函数-particle swarm algorithm, c language, through optimization, can add their own function testing
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Size: 2048 |
Author: 雪肤 |
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Description: 智能优化算法：
粒子群优化算法（PSO）应用于神经网络优化程序。分为无隐含层、一隐含层、二隐含层。运行DemoTrainPSO.m即可。
程序来自：Brian Birge
NCSU-intelligent optimization algorithms : Particle Swarm Optimization (PSO) used neural network optimization procedures. Divided into hidden layer, a hidden layer, hidden layer. DemoTrainPSO.m can run. Proceedings from : Brian Birge NCSU
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Author: 王光辉 |
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Description: 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.
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Size: 77824 |
Author: zhangtao |
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Description: A hybrid Particle Swarm Optimization algorithm for finding the minimum of
the function fitness in the real space.-Particle Swarm Optimization algo abbreviation for finding the minimum of the function fi tness in the real space.
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Size: 2048 |
Author: chen |
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Description: 粒子群优化算法（PSO）是一种进化计算技术（evolutionary computation）,由Eberhart博士和kennedy博士于1995年提出 (Kennedy J，Eberhart R．
Particle swarm optimization．Proceedings of the IEEE International Conference on Neural Networks．1995．1942~1948.)。源于对鸟群捕食的行为研究。粒子群优化算法的基本思想是通过群体中个体之间的协作和信息共享来寻找最优解．
-Particle Swarm Optimization (PSO) is an evolutionary computation techniques (evolutionary co mputation) by Dr. Eberhart and kennedy Dr. raised in 1995 (Kennedy, J., Eberhart R. Particle swarm optimization.Proc eedings of the IEEE International Conference o n Neural Networks.1995.1942 ~ 1948.) . From the flock of the predatory behavior. PSO algorithm is the basic idea of individual groups through the sharing of information and collaboration to find the optimal solution.
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Size: 134144 |
Author: 周荷 |
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Description: A program to demonstrate the optimization process of particle swarm optimization. A two-dimensional objective function is visualized by level of grey: the lighter the color, the higher the function value. The particles are shown as red circles, their trajectory as red lines.-A program to demonstrate the optimization process of particle swarm optimization. A two- dimensional objective function is visualized by level of gray : the lighter the color, the higher the value function. The particles ar e shown as red circles. their trajectory as red lines.
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Size: 12288 |
Author: 无心 |
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Description: A hybrid Particle Swarm Optimization algorithm for functions in the real space. -Particle Swarm Optimization algo rithm for functions in the real space.
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Size: 4096 |
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Description: 粒子群优化算法（PSO）应用于神经网络优化程序-Particle Swarm Optimization (PSO) algorithm used neural network optimization procedures
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Size: 21504 |
Author: chenqh |
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Description: 粒子群优化（PSO）算法研究进展综述，本人简要的从八个方面归纳了PSO的研究情况，涉及60余篇文献（主要是IEEE文献），对大多文献进行了简要评价。从文献资料显示，此方面较为系统的归纳尚未见报导，而国内相关成果亦较少。希望通过与大家的共享，以互相交流、共同进步-Particle Swarm Optimization (PSO) algorithm Progress Review, I briefly summarized from eight aspects of the PSO. involving more than 60 papers published (mainly IEEE documents), most of the literature on the summary evaluation. Information from the literature in this area is summarized in the system has not been reported, and there is less relevant results. We hope that through the sharing, exchange, and common progress.
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Size: 218112 |
Author: jiangsx |
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Description: PSO粒子群寻优算法。
Particle swarm optimization With linkage operator-PSO Particle Swarm Optimization algorithm. Particle swarm optimization With linkage oper.html se
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Size: 6144 |
Author: supercolin |
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Description: 粒子群优化算法 电子书
带变异算子的粒子群优化算法.KDH
改进的多目标粒子群算法.caj
改进的基本粒子群优化算法.kdh
基于粒子群算法的多目标函数优化问题研究.NH
粒子群算法及其在布局优化中的应用.KDH
粒子群优化算法的惯性权值递减策略研究.caj
粒子群优化算法在多目标优化中的应用与仿真.KDH
粒子群优化算法综述.CAJ
微粒群优化算法及其改进形式综述.KDH
一种新的改进粒子群算法研究.KDH-Particle Swarm Optimization with Mutation Operator e-book
particle swarm optimization algorithm. KDH
improved multi-objective particle swarm optimization algorithm. Caj improved elementary particle swarm optimization algorithm. Kdh
particle swarm optimization algorithm based on multi-objective function optimization studies. NH
Particle Swarm Optimization layout optimization algorithm and its application. KDH
Particle Swarm Optimization Algorithm Decreasing Inertia Weight Strategy Study. caj
particle swarm optimization in multi-objective optimization and simulation. KDH
Particle Swarm Optimization Algorithm. CAJ particle swarm optimization algorithm and to improve the form of synthesis. KDH
a new improved particle swarm algorithm. KDH
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Author: 姚思 |
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Description: 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.
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Author: 李洁 |
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Description: Data clustering using particle swarm optimization Data clustering using particle swarm optimization
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Size: 316416 |
Author: a2maridz |
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Description: 微粒群优化算法(Particle Swarm Optimization,PSO算法)源于鸟群和鱼群群体运
动行为的研究，是一种新的群体智能优化算法，是演化计算领域中的一个新的分支。它
的主要特点是原理简单、参数少、收敛速度较快，所需领域知识少。该算法的出现引起
了学者们极大的关注，已在函数优化、神经网络训练、组合优化、机器人路径规划等领
域获得了广泛应用，并取得了较好的效果。尽管粒子群优化算法发展近十年，但无论是
理论分析还是实践应用都尚未成熟，有大量的问题值得研究。
-Particle swarm optimization (Particle Swarm Optimization, PSO algorithm) from groups of birds and fish movement behavior, is a new swarm intelligence algorithm, in the field of evolutionary computation is a new branch. Its main feature is simple in principle, few parameters, convergence is faster, less domain knowledge required. The algorithm brought the scholars are of great concern, has been in function optimization, neural network training, combinatorial optimization, robot path planning has been widely used applications, and achieved good results. Despite the development of particle swarm optimization nearly a decade, but both theory and practice applications are not yet mature, a large number of issues worth studying.
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Size: 602112 |
Author: 赵 |
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Description: particle swarm optimization matlab code
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Size: 2783 |
Author: shafiqpuo@gmail.com |
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Description: 量子粒子群的案例，比较新颖的算法，有效的解决局部极小等问题，进行分析学习(Quantum particle swarm, easy case analysis)
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Size: 12288 |
Author: 槑子你好 |
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