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Description: 微粒群算法教程(曾建潮)-PDF格式 共八章-Particle Swarm Optimization Guide (ZENG Jian-chao)-PDF format
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Size: 1999872 |
Author: jzx |
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Description: 微粒群优化算法，可以应用在不同的领域，这是一个核心代码，可根据不同的应用领域进行扩展。-Particle swarm optimization algorithm, can be applied in different fields, this is a core of code, according to different application areas expand.
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Size: 248832 |
Author: gaoqian |
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Description: 微粒群算法的vc++源代码程序，可以根据应用不同进行扩展。-Particle Swarm Optimization of vc++ source code for the procedure can be different depending on the application to expand.
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Size: 161792 |
Author: gaoqian |
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Description: 这是一个用c++语言写的粒子群优化算法，算法含有详细的说明-This is a c++ language used to write the particle swarm optimization algorithm, the algorithm contains a detailed description of
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Size: 1155072 |
Author: daisyltf |
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Description: 这是最新的多目标进化算法包V2.2，这个集成包包含了近期的流行的，常用的多目标进化算法，包括NSGA2,SPEA2,PEAS2,以及多目标粒子群算法，另外还集成了单目标进化算法-This is a latest multi-objective evolutionary algorithm package V2.2, the integrated package includes a recent popular, commonly used in multi-objective evolutionary algorithm, including NSGA2, SPEA2, PEAS2, as well as multi-objective particle swarm optimization, in addition to an integrated single-objective evolutionary algorithm.
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Size: 145408 |
Author: stuart |
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Description: Java平台的启发式优化算法，包含了多目标进化算法（SPEA2和NSGA2），多目标差异进化，PSO和单目标模拟退火算法。并且包含了ZDT,DTLZ和WFG等测试函数-Opt4J is a framework for applying meta-heuristic optimization algorithms to arbitrary optimization problems.
The Opt4J framework currently includes a multi-objective Evolutionary Algorithm (including SPEA2 and NSGA2), a multi-objective Differential Evolution, a multi-objective Particle Swarm Optimizer (PSO), and a single-objective Simulated Annealing with some predefined cooling schedules. The Opt4J framework also contains several benchmarks like ZDT, DTLZ, or WFG.
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Size: 1968128 |
Author: stuart |
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Description: 本文介绍了混合粒子群算法在环境和经济调度方面的应用，并对粒子群算法做了进一步发展，对算法学习有一定帮助。-In this paper, hybrid particle swarm algorithm in the environment and the application of economic dispatch, particle swarm optimization and further development of the learning algorithm must help.
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Size: 285696 |
Author: JONE |
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Description: 粒子群算法在PCB板元件模板检测中的应用！
使用粒子群搜索策略！-PSO components in the PCB board detection template! Search strategy using the Particle Swarm!
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Size: 4777984 |
Author: 姜利 |
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Description: 粒子群优化算法演示，演示2d粒子群优化算法-Particle Swarm Optimization demonstration, demo 2d particle swarm optimization algorithm
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Size: 2048 |
Author: 王忠言 |
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Description: 粒子群算法求最值，用离子群算法求函数的最值-Particle Swarm Optimization for the best values, with ion swarm optimization function for the most value
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Size: 2048 |
Author: 王忠言 |
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Description: 基于粒子群算法的冷轧轧机程序，是燕山大学论文中的程序，已经改进-Particle Swarm Optimization Based on the cold-rolling process
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Size: 972800 |
Author: E.F.CODD |
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Description: cuda加速粒子群算法的代码，非常不错哦-particle swarm algorithm to accelerate the cuda code
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Size: 104448 |
Author: wangwei |
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Description: PSO粒子群优化 particle swarm optimization-pso
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Size: 8192 |
Author: xuke |
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Description: 用python语言编写的粒子群优化算法，内有多种适应度函数可供选择-Python language used particle swarm optimization algorithm, there are a variety of alternative fitness function
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Size: 3072 |
Author: 海廷 |
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Description: 粒子群算法与支持向量机的结合，用粒子群算法快速寻找支持向量机的最优参数。-Particle swarm optimization with support vector machines with particle swarm optimization with support vector machines quickly find the optimal parameters.
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Size: 1024 |
Author: 海廷 |
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Description: MATLAB 粒子群代码 能寻找到最优的解-Particle Swarm MATLAB code to find the optimal solution
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Size: 2048 |
Author: 刘寿宝 |
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Description: 粒子群在二维空间的搜索 用MATLAB编程 可移植性高 非常的好用-Particle swarm search in the two-dimensional space using MATLAB programming very easy to use high portability
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Size: 2048 |
Author: 刘寿宝 |
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Description: 提出一种改进的粒子群优化算法———基于全局劣汰策略的混合粒子群优化算法(GTPSO) 。GTPSO在
保持PSO算法快速收敛的基础上,以郭涛算法(GuoA)的寻优机制确保种群的多样性和算法的坚韧性。数值计
算结果表明,对于高维(维数≥10)复杂非凸多峰函数的数值优化问题, GTPSO算法的计算结果均优于GuoA算
法和粒子群优化算法。-An improved particle swarm optimization algorithm--- poor overall survival strategy based on a mixture of particle swarm optimization (GTPSO). GTPSO while maintaining fast convergence PSO algorithm based on the algorithm to Guo Tao (GuoA) optimization of the mechanism in place to ensure the diversity of the population of the tenacity and algorithms. The numerical results show that for high-dimensional (dimension ≥ 10) the complexity of multi-peak function non-convex numerical optimization problems, GTPSO algorithm results are superior to GuoA algorithms and particle swarm optimization algorithm.
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Size: 223232 |
Author: zhao |
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Description: 粒子群算法的一个代码,比较简单，很容易理解-a code ahout Particle Swarm Optimization , a code ahout Particle Swarm Optimization
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Size: 167936 |
Author: jiangfan |
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Description: 粒子群算法，matlab程序，带有2D图形-Particle swarm optimization, matlab program, with 2D graphics
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Size: 2048 |
Author: cherry |
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