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[Other resource差别算法matlab源码

Description: 粒子群优化算法(PSO)是一种进化计算技术(evolutionary computation).源于对鸟群捕食的行为研究 PSO同遗传算法类似,是一种基于叠代的优化工具。系统初始化为一组随机解,通过叠代搜寻最优值。但是并没有遗传算法用的交叉(crossover)以及变异(mutation)。而是粒子在解空间追随最优的粒子进行搜索。详细的步骤以后的章节介绍 同遗传算法比较,PSO的优势在于简单容易实现并且没有许多参数需要调整。目前已广泛应用于函数优化,神经网络训练,模糊系统控制以及其他遗传算法的应用领域-Particle Swarm Optimization (PSO) is an evolutionary technology (evolutionary computation). Predatory birds originated from the research PSO with similar genetic algorithm is based on iterative optimization tools. Initialize the system for a group of random solutions, through iterative search for the optimal values. However, there is no genetic algorithm with the cross - (crossover) and the variation (mutation). But particles in the solution space following the optimal particle search. The steps detailed chapter on the future of genetic algorithm, the advantages of PSO is simple and easy to achieve without many parameters need to be adjusted. Now it has been widely used function optimization, neural networks, fuzzy systems control and other genetic algorithm applications
Platform: | Size: 16633 | Author: 张正 | Hits:

[SourceCode粒子群算法计算最短路径

Description: 优化问题是工业设计中经常遇到的问题,许多问题最后都可以归结为优化问题. 为了解决各种各样的优化问题,人们提出了许多优化算法,比较著名的有爬山法、遗传算法等.优化问题有两个主要问题:一是要求寻找全局最小点,二是要求有较高的收敛速度. 爬山法精度较高,但是易于陷入局部极小. 遗传算法属于进化算法( Evolutionary Algorithms) 的一种,它通过模仿自然界的选择与遗传的机理来寻找最优解. 遗传算法有三个基本算子:选择、交叉和变异. 但是遗传算法的编程实现比较复杂,首先需要对问题进行编码,找到最优解之后还需要对问题进行解码,另外三个算子的实现也有许多参数,如交叉率和变异率,并且这些参数的选择严重影响解的品质,而目前这些参数的选择大部分是依靠经验.1995 年Eberhart 博士和kennedy 博士提出了一种新的算法;粒子群优化(Particle Swarm Optimization -PSO) 算法 . 这种算法以其实现容易、精度高、收敛快等优点引起了学术界的重视,并且在解决实际问题中展示了其优越性。
Platform: | Size: 1797 | Author: 805951849@qq.com | Hits:

[AI-NN-PR基本遗传算法源程序

Description: 多目标进化算法源代码-more evolutionary algorithm source code
Platform: | Size: 5120 | Author: 刘鑫 | Hits:

[AI-NN-PR多目标进化算法源代码

Description: 多目标进化算法源代码-more evolutionary algorithm source code
Platform: | Size: 906240 | Author: 刘鑫 | Hits:

[Education soft system草堂图书管理系统

Description: 《草堂图书管理系统》提供了丰富的可视信息,不同用户或同一用户加工不同的版本时看到的可视信息可能不同。用户是在各自的可视信息下工作,可视信息与用户的工作状态相对应,它是项目进化过程中与用户当前工作相关的内容片段。可视信息的获得源于工具内部实现的VB面向对象程序语言设计做前台,使用ACCESS2000做数据库后台。-"the city library management system" provided a wealth of visual information, different users or the same user processing different versions to see the visual information may be different. Users in their respective visual information to work with the users of information visualization of the state Correspondingly, it is item evolutionary process with the user's current work related content fragments. Visual access to information from internal tool to achieve the VB object-oriented programming language designed to make future use of the database to do ACCESS2000 background.
Platform: | Size: 9184256 | Author: 郑南 | Hits:

[AI-NN-PRefloy

Description: 本程序是具有进化能力的人工生命floy,你会看到越来越具有智能的floy会自发的产生。 -this evolutionary process is the ability of artificial life floy, you will see more intelligent the floy will spontaneously emerge.
Platform: | Size: 103424 | Author: 姚启迪 | Hits:

[Internet-Networktotal

Description: total是最后的版本。包括的全是最新的物理层和数据链路层。另外还有pro1和pro2的打包程序和调用它们形成的各自的界面程序,以及最后调用各个界面形成的总界面程序。由于时间匆忙,对数据链路层协议的界面化工作只做到了pro2,总界面上已经留了所有6个程序的地方。PhysicalLayer包中包含了所有的物理层的程序的版本,以及它们各自的演示程序(一般为Physical)及打包程序(一般为PhyLayer)。显示了整个物理层编写及修改演化的过程,仅供参考。Datalink Layer包中包含了数据链路层程序的各个版本。包含数据链路层基本操作模块(Datalink.java)及各个协议的版本(pro1-pro3)。以及它们各自的演示程序及打包程序。显示了整个物理层编写及修改演化的过程,仅供参考。运行方法:只需要Java的运行环境。先要预装java,这里使用的是java的j2sdk-1_4_2_01-windows-i586版本。最新的1.5.0应该也支持。采用的编译器是Jcreator,其他的编译器也应该是可以用的。-total is the final version. Included are all the latest physical layer and data link layer. Another pro2 PRO1 and the packing procedures and the use of their respective formation of the interface procedures, as well as various interface called the final form of the total interface procedures. Because of the time available, the data link layer protocol interface work is just a pro2 total interface has left all six local procedures. PhysicalLayer package contains all of the physical layer version of the procedure, as well as their respective demo program (usually Physical) and packing procedures (usually PhyLayer). Show the entire physical layer and the preparation of amendments to the evolutionary process, for reference purposes only. DataLink Layer packet contains the data link layer proce
Platform: | Size: 13312 | Author: 李雷 | Hits:

[Windows DevelopOO in C

Description: C 语言中的类模拟(C++编程思想) 在面向对象的语言里面,出现了类的概念。这是编程思想的一种进化。所谓类:是对特定数 据的特定操作的集合体。所以说类包含了两个范畴:数据和操作。而C 语言中的struct 仅仅是数 据的集合。-C language of analog (C Programming thinking), the object-oriented languages inside, a kind of concept. This program is an evolutionary thinking. The so-called categories : data specific to the particular operation of the collectivity. So category contains two areas : data and operation. While the C language struct is just a collection of data.
Platform: | Size: 164864 | Author: 曹成 | Hits:

[AI-NN-PRGPdata-3.0.tar

Description: 标准的GP源代码,由Andy Singleton维护,在linux下运行,编译方法可参照内带的说明,搞演化计算的朋友值得一看-standard GP source code, by Andy Singleton maintenance, running under Linux, compile method can be brought to the light show that engaging in evolutionary computation is worth looking at the friends
Platform: | Size: 172032 | Author: yang | Hits:

[AI-NN-PR差别算法matlab源码

Description: 粒子群优化算法(PSO)是一种进化计算技术(evolutionary computation).源于对鸟群捕食的行为研究 PSO同遗传算法类似,是一种基于叠代的优化工具。系统初始化为一组随机解,通过叠代搜寻最优值。但是并没有遗传算法用的交叉(crossover)以及变异(mutation)。而是粒子在解空间追随最优的粒子进行搜索。详细的步骤以后的章节介绍 同遗传算法比较,PSO的优势在于简单容易实现并且没有许多参数需要调整。目前已广泛应用于函数优化,神经网络训练,模糊系统控制以及其他遗传算法的应用领域-Particle Swarm Optimization (PSO) is an evolutionary technology (evolutionary computation). Predatory birds originated from the research PSO with similar genetic algorithm is based on iterative optimization tools. Initialize the system for a group of random solutions, through iterative search for the optimal values. However, there is no genetic algorithm with the cross- (crossover) and the variation (mutation). But particles in the solution space following the optimal particle search. The steps detailed chapter on the future of genetic algorithm, the advantages of PSO is simple and easy to achieve without many parameters need to be adjusted. Now it has been widely used function optimization, neural networks, fuzzy systems control and other genetic algorithm applications
Platform: | Size: 16384 | Author: | Hits:

[AI-NN-PR演化计算(实例-多峰函数最值)

Description: 演化计算是基于随即搜索的新算法;它的技术模型源于自然的演化。下面是一个例子,该函数是典型的多峰(震动剧烈)的函数。用的算法是郭涛算法。-evolutionary computation is based on the then new search algorithm; It stems from the technical model of the natural evolution. Below is an example of this function is a typical multi-feng (severe shock) function. The algorithm is Guo Tao algorithm.
Platform: | Size: 2048 | Author: 龚文引 | Hits:

[AI-NN-PRgep编程基础2-27

Description: GEP(基因表达式程序设计)是一种新的演化算法,该文件是基本的GEP编程,采用功能的封装格式,测试通过,能够方便的使用。-GEP (Gene Expression Program Design) is a new evolutionary algorithm, which is the basic GEP programming, functional package format, through testing, to facilitate their use.
Platform: | Size: 15360 | Author: 龚文引 | Hits:

[AI-NN-PR演化算法在参数回归中的应用

Description: 本文在VC++环境下用演化算法实现了非线性参数回归,实验结果表明,用此方法能够很好的实现非线性参数回归。-paper in VC environment using an evolutionary algorithm to achieve the nonlinear regression, experimental results indicate that this method can achieve good nonlinear regression.
Platform: | Size: 3072 | Author: 龚文引 | Hits:

[AI-NN-PRsBOA

Description: 贝叶斯优化算法是一种新的演化算法,通过贝叶斯概率统计的知识来学习后代,可是使演化朝有利的方向前进,程序用C实现了贝叶斯优化算法。-Bayesian Optimization Algorithm is a new evolutionary algorithm, through Bayesian probability and statistics to learn the knowledge of future generations, but to enable the evolution towards a favorable direction, procedures C achieved a Bayesian Optimization Algorithm.
Platform: | Size: 157696 | Author: 龚文引 | Hits:

[AI-NN-PRNEA

Description: 针对现有遗传算法在多维非线性优选方面的不足,本文提出了一种基于小生境进化算法(NEA)的非线性优选模型,探讨了NEA算法的参数选择原则。通过大量仿真和比较,表明算法在复杂非线性优选中具有快速、高效、鲁棒性强的特点,并能在全局范围内有效搜索所有最优解。 -against existing genetic algorithms in three-dimensional nonlinear optimization for the shortage, the paper presents a niche evolutionary algorithm (NEA) nonlinear optimization model, the NEA on the parameters chosen algorithm principle. Through simulation and large, the algorithm shown in a complex nonlinear optimization is fast, efficient, robust features of the strong, and the global scope effective search all the optimal solution.
Platform: | Size: 37888 | Author: 黄善理 | Hits:

[AI-NN-PRevaluat_max

Description: 关于演化算法的小程序.以一个二元二次方程的求极值为例.对输入参数作了简化的固定处理.较好的说明了演化算法.可直接运行.-on evolutionary algorithm small procedures. A binary quadratic equation for the extreme example. To simplify the input parameters fixed address. A good note evolutionary algorithm. Direct operation.
Platform: | Size: 638976 | Author: 苏海鹏 | Hits:

[AI-NN-PRaddmp

Description: Multi-objective evolutionary algorithm - an application-Multi-objective evolutionary algorithm- an application
Platform: | Size: 310272 | Author: 陈月辉 | Hits:

[AI-NN-PR演化程序——遗传算法和数据编码的结合

Description: 演化程序——遗传算法和数据编码的结合 具体介绍了遗传算法的应用-evolutionary process-- genetic algorithms and data encoding the specific combination of the application of genetic algorithms
Platform: | Size: 7495680 | Author: 冯宾 | Hits:

[Windows Develop演化法

Description: 首先介绍了当前求解TSP问题最好的演化算法之一:GT算法。文中重点设计了在NOW上求解旅行商问题GT算法的并行算法,详细描述了设计思路,设计策略。还给出了相当详细的并行算法描述。文中设计的并行算法已经在NOW上的PVM平台上实现。关键词NOW,演化计算,旅行商问题,并行计算-first briefed on the current TSP evolutionary algorithm best one : GT algorithm. The article focused on the design of the NOW on solving the traveling salesman problem GT algorithm parallel algorithm, described in detail the design concept, design strategy. Also given a fairly detailed description of the parallel algorithm. The text of parallel algorithm design in NOW's PVM achieve. Keywords NOW, evolutionary computation, the traveling salesman problem, parallel computing
Platform: | Size: 199680 | Author: 巨金华 | Hits:

[ComboBoxdbeagle-0.9.2.tar

Description: Distributed BEAGLE是进化的计算机框架Open BEAGLE的主从分布式扩展。它的关键特点是稳定性,容错,对异源网络的适应性,以及对用户的透明。-Beagle is the evolutionary framework of the Open Computer Beagle Distributed from the main extension. Its key feature is stability, fault-tolerant, heterogeneous network adaptability, and transparent to the user.
Platform: | Size: 3412992 | Author: 萧建 | Hits:
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