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Description: 经济学的一个swarm平台源代码，安装了swarm类库即可直接远行-economics of a swarm platform source code, the installation of a swarm class library can be directly harm
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Size: 7129 |
Author: ithink |
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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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Size: 216409 |
Author: zjllogic@126.com |
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Description: 一个swarm的小程序-a small program of swarm
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Size: 35840 |
Author: 冬儿 |
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Description: 人工股市（Artificial Stock Market，简称ASM）是模拟股市运作的一个程序。在这个电脑中的虚拟市场中，若干被称为交易者的人工智能程序(Agent)通过观察它们所在的数字世界中股价和股息的不断变换而做出预测，并且根据这些预测做出购买股票与否以及购买股票数量的决策。反过来，所有的交易者的决策又决定了股票的价格，这样，整个的股票交易市场就构成了一个自我封闭的计算系统。同时，这些交易者都具有学习的能力，可以根据以前预测的成功或者失败对自己的决策进行调整，并且通过一种被称为遗传算法的方法产生创新能力。总之，ASM是一个电脑中不断进化的虚拟股票市场！通过研究ASM，我们可以更好的理解现实世界的行为，并且它提供了一个很好的现实股市的隐喻。 备注：该程序运行需要有Swarm平台的支持，关于这个平台可以到http://www.swarm.org免费下载。 -artificial stock market (Artificial Stock Market, or ASM) is a stock market simulation operation of the procedure. In this computer in the virtual market, a number of traders known as artificial intelligence (Agent) by observing them where the digital world and the stock dividend and the constantly changing projections, and based on these projections made whether or not to purchase stocks and the purchase of shares in decision-making. Conversely, all the decision-making transactions in turn determines the share price, so that the entire stock market would constitute a self-enclosed computer system. Moreover, these transactions are capable of learning, can be predicted based on previous success or failure of their decisions for the adjustment, and through a genetic algorithm known as the me
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Author: 张洁 |
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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: 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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Size: 778240 |
Author: 王光辉 |
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Description: 经济学的一个swarm平台源代码，安装了swarm类库即可直接远行-economics of a swarm platform source code, the installation of a swarm class library can be directly harm
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Size: 7168 |
Author: |
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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: 粒子群优化算法！！！
系统地介绍了粒子群优化算法,归纳了其发展过程中的各种改进如惯性权重!收敛因子!跟踪并
优化动态目标等模型"阐述了算法在目标函数优化!神经网络训练!模糊控制系统等基本领域的应用并
给出其在工程领域的应用进展,最后,对粒子群优化算法的研究和应用进行了总结和展望,指出其在计算
机辅助工艺规划领域的应用前景"-PSO algorithm! ! ! A systematic introduction to PSO algorithm, summed up its development process such as the improvement of inertia weight! Convergence factor! track and dynamic optimization model objectives, "explained the algorithm optimization objective function! Neural Network Training! Fuzzy Control System basic areas of application and gives the project from its the application domain, finally, the PSO algorithm research and application of the summary and outlook. pointed out in the field of computer-aided process planning applications prospects "
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Size: 53248 |
Author: 八云 |
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Description: 一个swarm开发的例子程序，可以帮助大家了解用java编写swarm程序的大致流程。-development of a swarm of example programs understanding can help you use java preparation procedures generally swarm process.
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Size: 31744 |
Author: wsjgc |
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Description: 自己用swarm开发的一个车辆跟驰的模型，希望能跟广大爱好者共同探讨。-own use development of a swarm of vehicles- following model, the majority of fans are able to explore together.
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Size: 10240 |
Author: wsjgc |
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Description: 这是一个达人总结的，在eclipse下使用swarm时的配置方法，有图片一步步指导，很到位，对刚接触swarm仿真的新手帮助极大。-This is a summary of Tatsu people, in eclipse, when the use of swarm configuration methods, one has picture step by step guide, it is in place, the swarm simulation刚接触novice help greatly.
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Size: 626688 |
Author: 小佳 |
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Description: 能在 ns-2 下模拟出一个使用 swarm 算法通讯的网络，关键字： aco, ant colony, swarm computing-In ns-2 under the simulation of a swarm algorithm for the use of communications networks, keyword: aco, ant colony, swarm computing
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Size: 1042432 |
Author: Dennis |
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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: The aim of this book is to furnish some theoretical concepts and to
sketch a general framework for computational intelligence paradigms
such as artificial neural networks, fuzzy systems, evolutionary computation,
genetic algorithms, genetic programming, and swarm intelligence.
The book includes a large number of intelligent computing methodologies
and algorithms employed in computational intelligence research. The
book also offers a set of solved programming examples related to computational
intelligence paradigms using MATLAB software. Additionally,
such examples can be repeated under the same conditions, using different
data sets. Researchers, academicians, and students in computational intelligence can use this book to verify their ideas related to evolution dynamics,
self-organization, natural and artificial morphogenesis, emergent
collective behaviors, swarm intelligence, evolutionary strategies, genetic
programming, and evolution of social behaviors.
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Size: 6013952 |
Author: Umar |
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Description: 基于swarm的模拟股市代码，这个版本是有界界面的，比没有界卖弄的速度慢一点-Swarm-based simulated stock market code, this version is bounded interface, not bound to show off than the speed of slow
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Size: 10240 |
Author: zeng |
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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: 鸡群算法是一种全新的群智能算法，具有简单，良好的可扩展性，(Chicken swarm algorithm is a new swarm intelligence algorithm with simple and good scalability,)
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Size: 192512 |
Author: 奋斗小孩
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Description: 用于做仿真的优良工具，还有关于swarm的一些基本介绍(a simulation platform tool)
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Size: 172032 |
Author: BruceLee_LW
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Description: 粒子群优化算起源于对鸟群、鱼群以及对某些社会行为的模拟，是一种基于群体智能的进化计算技术。而小生境技术则起源于遗传算法，这种方法能使基于群体的随机优化算法形成物种，从而使相应的优化算法具有发现多个最优解的能力。而多分类器集成技术则是通过多个分类器进行某种组合来决定最终的分类，以取得比单个分类器更好的性能。多分类器集成技术要求基元分类器不仅个体性能要好并且其差异度要大，这与小生境技术形成物种的能力具有很多内在的相似性。目前己经有研究者将小生境技术应用于多分类器集成，但由于传统的小生境技术仍然不完善，存在一些内在的陷，因而这些应用还不成熟和完善。
(Particle swarm optimization (partieleSwarmOptimization) originated in the birds, fish, and of a
Some simulation of social behavior, is a swarm intelligence-based evolutionary computing. The origin of the niche technology is In genetic algorithms, this method can make random optimization algorithm based on the formation of groups of species, so that the appropriate priority
Algorithm has the ability to find multiple optimal solutions. The integration technology of multiple classifiers is through multiple classifiers into
Some combination of the line to determine the final classification, in order to obtain better than a single classifier performance. Integration of multiple classifiers
Technical requirements for primitive classification is not only better individual performance and the difference to a large degree, which form a niche technology The ability of species has many inherent similarities. The researchers will now have a niche technology used in multisection
Class ens)
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Author: dreamer |
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