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[Other resource123ParticleSwarmOptimization(PSO)Algorithm

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 "
Platform: | Size: 53571 | Author: 八云 | Hits:

[AI-NN-PRvbpso

Description: 粒子群算法的vb源程序,可以自定义算法参数,实现对6个非约束性测试函数极小值的全局优化,动态显示粒子的移动。低维下,优化效果很好。直接解压,无须密码。请多指正。-PSO algorithm vb source, the algorithm can define parameters to achieve the six non-binding function tests minimum of global optimization, dynamic display particle movement. Low-dimensional, optimize the results very good. Direct decompression without passwords. Please correct.
Platform: | Size: 23552 | Author: | Hits:

[matlabbenchmarks_test_pso

Description: 粒子群算法(pso)标准测试函数验证程序。在一个m文件中包括了目前文献中用于验证的7个标准测试函数(Ackley等)、三维动态显示,粒子过分集中时打散等功能。旨在为学习和研究者pso算法的同仁提供一个功能较为完备、简单易懂的标准版本,对于初学者可以通过此程序快速的实现入门,以便将更多的精力投入到深层次的研究中去!同时愿与所有致力于此的朋友共同探讨pso算法的改进与应用方面(如多目标、动态系统等)的经验。-PSO algorithm (PSO) standard test function verification process. M in a document, including the current literature is used to validate the seven standard test function (Ackley), 3D dynamic display, and the over-concentration of particles scatters when the function. Designed for researchers to study and colleagues at the PSO algorithm to provide a more complete functional and easily understood standard version, for beginners through this program to achieve rapid entry. in order to be more energy into depth study! While willing to work with all the friends here to discuss PSO algorithm improvements and applications (such as multi-target, Dynamic systems, etc.) experience.
Platform: | Size: 3072 | Author: jiangsx | Hits:

[Other123ParticleSwarmOptimization(PSO)Algorithm

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 "
Platform: | Size: 53248 | Author: 八云 | Hits:

[TreeViewwinzipSources

Description: 1、《解压缩动态链接库Zip.dll》具有免费版和正式版本两种,免费版本 可以无限制永久使用。 2、两种版本之间的差别:免费版有"免费版"及相关联系信息等字样。免 费版不可以隐藏进度条窗体,正式版本可自行根据需要进行选择。其它功 能均与正式版本相同。 3、正式版本的使用权仅限购买方软件中使用,购买方 信息也包含在文件中,不得将《解压缩动态链接库Zip.dll》单独进行交换、 转让和销售,一经发现,将采取技术手段封锁对该用户的后续版本的升级, 并在法律许可的最大范围追究相应的法律责任。-a "decompression Zip.dll dynamic link library" is a free version and the official version of the two, unrestricted free version can be used permanently. 2, two versions of the difference between : a free version of a "free version" and related contact information and so forth. A free version can not hide the progress of the form, and the final version may themselves need to choose. Other features with the official version of the same. 3, the official version of the right to use limited to the purchase of software used to purchase information is also included in the document, not to "extract the dynamic link library Zip.dll" separate exchange, transfer and sale, once discovered, technical means will be taken to blockade any of the follow-up version of the upgra
Platform: | Size: 299008 | Author: | Hits:

[AI-NN-PRCDAPSO

Description: 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.
Platform: | Size: 6144 | Author: wuyuqian | Hits:

[matlabpsobc318

Description: 利用PSO算法设计传感器的动态补偿器,使补偿之后的传感器的动态性能指标得到提高。-PSO algorithm design using dynamic compensation of sensor devices for the compensation of the sensor after the dynamic performance is improved.
Platform: | Size: 1024 | Author: 许思淼 | Hits:

[matlabpsojmfm2

Description: 将动态标定实验的阶跃响应数据进行处理之后,分离实验装置中的非传感器造成的影响,而后利用PSO算法进行传感器的建模-Dynamic calibration of the experimental step response data of the deal, the separation of experimental apparatus in the impact of non-sensor, and then use PSO algorithm sensor modeling
Platform: | Size: 2048 | Author: 许思淼 | Hits:

[AI-NN-PRpso

Description: 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
Platform: | Size: 753664 | Author: 梁锦兆 | Hits:

[AI-NN-PRpso_train_net

Description: 此程序包是用粒子群算法来训练神经网络参数,只要打开demoPSOnet.m运行了,会出现动态的二维图-This package is used PSO to train neural network parameters, as long as the open demoPSOnet.m run, there will be a dynamic two-dimensional map
Platform: | Size: 23552 | Author: 梁锦兆 | Hits:

[AI-NN-PRDPSO

Description: 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)
Platform: | Size: 206848 | Author: 清水 | Hits:

[AI-NN-PRstandardpso

Description: 二维的动态寻优过程,图出来很标准,很漂亮-Two-dimensional dynamic optimization process, map out a very standard, very beautiful
Platform: | Size: 2048 | Author: 刘届 | Hits:

[AI-NN-PRSPSO

Description: 标准微粒群算法源程序,该程序用于计算Goldstein-Price函数的函数最小值-Standard Particle Swarm Optimization source, the program used to calculate the Goldstein-Price function function of the minimum
Platform: | Size: 24576 | Author: miaomiao | Hits:

[Energy industryPSO-PVC

Description: 粒子群算法在某化工厂聚化车间生产调度中的应用,效果很好,实现了动态调度,与数据库连接。-Particle swarm optimization in a chemical polymerization shop production scheduling applications, good results and achieve dynamic scheduling, and database connection.
Platform: | Size: 73728 | Author: 蒋佳颖 | Hits:

[Special EffectsPSO-image-segmentation-algorithm

Description: 为了提高算法的执行效率, 应用粒子群算法求取图像中任意两点间最短路径来定位目标边界, 并与经典的基于Dijkstra 动态规划图搜索的Liv e Wire 算法进行比较.-In order to improve the efficiency of the algorithm, particle swarm algorithm to strike any of images to locate the shortest path between two object boundaries, and with the classical dynamic programming graph search based on Dijkstra' s algorithm to compare Liv e Wire.
Platform: | Size: 318464 | Author: | Hits:

[File Formatdynamic-PSO

Description: 这是一篇关于动态环境下的粒子群算法的论文。-this is a paper of particle swarm optimization in dynamic
Platform: | Size: 86016 | Author: | Hits:

[OtherDynamic-PSO-LA

Description: Dynamic PSO Learning Automata
Platform: | Size: 8192 | Author: meftahi | Hits:

[AI-NN-PR2017 PSO identification nonlinear

Description: 2017- An improved PSO algorithm for parameter identification of nonlinear dynamic hysteretic models
Platform: | Size: 1115136 | Author: hieuhuech1 | Hits:

[PSO

Description: 一种简单的PSO算法的演示,通过动态的散点图演示,最终所有的点趋于两个点。(A simple demonstration of the PSO algorithm, demonstrated by a dynamic scatter plot, and eventually all points tend to two points.)
Platform: | Size: 91136 | Author: 叶子·不爱闹 | Hits:

[Other标准pso代码-鲁

Description: Abstract: With the development of engineering technology and the improvement of mathematical model, a large number of optimization problems were developed from low dimensional optimization to large-scale complex optimization. Large scale global optimization is an active research topic in the real-parameter optimization. Based on the analysis of the characteristics of large scale problems, a stochastic dynamic cooperative coevolution strategy was proposed. The strategy was added to the dynamic multi-swarm particle swarm optimization algorithm. And the dual grouping of population and decision variables was realized. Next, the performance of the novel optimization on the set of benchmark functions provided for the CEC2013 Special Session on Large Scale optimization is reported. Finally the validity of the algorithm was verified by comparing with other algorithms
Platform: | Size: 78848 | Author: DirtyMind | Hits:
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