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Description: 离散二进制粒子群优化算法，非常热门的新算法，给出几个函数实例，供大家参考-discrete binary PSO algorithm, a very popular new algorithm, gave a few examples of function, for your reference
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Size: 8968 |
Author: 张三 |
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Description: 离散二进制粒子群优化算法，非常热门的新算法，给出几个函数实例，供大家参考-discrete binary PSO algorithm, a very popular new algorithm, gave a few examples of function, for your reference
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Size: 209920 |
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Description: 二维二进制离散粒子群求解agent联盟问题的源代码，按c键迭代开始执行-two-dimensional discrete binary PSO Union agent for the source code, according to c Key iteration started
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Description: 离散粒子群算法（Discrete PSO）C语言源代码。
附带有利用D-PSO解决旅行商问题(TSP)的代码可作为使用时的Demo参考-discrete particle swarm algorithm (Discrete PSO) C language source code. Incidental use of a D-PSO solve the traveling salesman problem (TSP) code can be used as a reference when the Demo
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Size: 49152 |
Author: 布拉德 |
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Description: 修正过的pso 算法 属于离散型的pso程序，可用于变量筛选，效果不错！-Modified discrete PSO algorithm belonging to the PSO procedure, can be used for variable selection, good results!
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Size: 1024 |
Author: 曹洪印 |
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Description: 处理旅行商问题的离散PSO算法的例程，动态生成路径串，算法本身保证了路径串的合法性-Traveling salesman problem to deal with discrete PSO algorithm routines, dynamically generated path string, the algorithm itself, guarantee the legitimacy of the path string
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Size: 3072 |
Author: tedachun |
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Description: 离散版粒子群算法,MATLAB环境中的,对求解离散优化问题很有帮助.-Discrete version of PSO, MATLAB environment to solve the problem of discrete optimization helpful.
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Size: 51200 |
Author: TL |
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Description: 求解离散问题的pso aco 算法，含german信用数据库-Solving the problem of discrete pso aco algorithm, with german credit database
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Size: 158720 |
Author: 许靖 |
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Description: 采用二进制对PSO进行编码，实现PSO离散化-PSO used to encode binary, discrete implementation of PSO
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Size: 50176 |
Author: taoqian |
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Description: 用粒子群算法解决tsp问题,其粒子群算法为离散粒子群算法。-Using particle swarm algorithm to solve the problem tsp its discrete particle swarm PSO.
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Author: 何涛 |
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Description: A distributed PSOSVM hybrid system with feature selection and parameter optimization
-Abstract
This study proposed a novel PSO–SVM model that hybridized the particle swarm optimization (PSO) and support vector machines (SVM) to
improve the classification accuracy with a small and appropriate feature subset. This optimization mechanism combined the discrete PSO with the
continuous-valued PSO to simultaneously optimize the input feature subset selection and the SVM kernel parameter setting. The hybrid PSO–SVM
data mining system was implemented via a distributed architecture using the web service technology to reduce the computational time. In a
heterogeneous computing environment, the PSO optimization was performed on the application server and the SVM model was trained on the
client (agent) computer. The experimental results showed the proposed approach can correctly select the discriminating input features and also
achieve high classification accuracy.
# 2007 Elsevier B.V. All rights reserved.
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Size: 565248 |
Author: alice |
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Description: year 2007 Discrete PSO CLA
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Size: 234496 |
Author: fathemeh |
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Description: 二进制粒子群的源代码，可以用来给初学者作为学习的模板。只要修改目标函数，就可以运行解决离散的优化问题-Binary particle swarm of source code, and can be used as a template for beginners to learn. As long as the objective function changes can run to solve the problem of the optimization of the discrete
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Size: 2048 |
Author: liushich |
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Description: Particle swarm optimization (PSO) is a novel metaheuristic inspired by the flocking behavior of birds. The applications of PSO
to scheduling problems are extremely few.
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Size: 151552 |
Author: bennisfirdaous |
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Description: In this paper, a novel Discrete Particle Swarm Optimization Algorithm
(DPSOA) for data clustering has been proposed. The particle positions and velocities
are defined in a discrete form. The DPSOA algorithm uses of a simple probability
approach to construct the velocity of particle followed by a search scheme to
constructs the clustering solution. DPSOA algorithm has been applied to solve the
data clustering problems by considering two performance metrics, such as TRace
Within criteria (TRW) and Variance Ratio Criteria (VRC). The results obtained by
the proposed algorithm have been compared with the published results of Basic
PSO (B-PSO) algorithm, Genetic Algorithm (GA), Differential Evolution (DE) algorithm
and Combinatorial Particle Swarm Optimization (CPSO) algorithm. The
performance analysis demonstrates the effectiveness of the proposed algorithm in
solving the partitional data clustering problems.
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Author: ali |
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Description: 改进后的离散粒子群算法，支持多种寻优解决方案-The improved discrete particle swarm optimization (pso), support for multiple optimal solutions
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Size: 2048 |
Author: 赵仲夏 |
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Description: 验证基于DPSO 算法的合作感知调度方案在各个LN 的网络特征不同
的异构CRNMLNS 中也能获得同样的性能(CRNMLNS, a cooperative sensing scheduling scheme based on discrete particle swarm optimization (DPSO) algorithm was proposed)
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Author: chalie
|
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Description: Bat algorithm, Discrete Fourier transform proposed by Pie, Fourier Mellin Transform, Particle swarm optimization algorithm
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Size: 5120 |
Author: prajju |
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Description: 离散粒子群算法，改进的二值粒子群算法，可以正常运行(Discrete particle swarm optimization algorithm, improved binary particle swarm optimization algorithm)
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Size: 2048 |
Author: 为底色的 |
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