文件名称:PSO
- 所属分类:
- 人工智能/神经网络/遗传算法
- 资源属性:
- [PDF]
- 上传时间:
- 2012-11-26
- 文件大小:
- 17.33mb
- 下载次数:
- 0次
- 提 供 者:
- 杨**
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- 无
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- 别用迅雷下载,失败请重下,重下不扣分!
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关于粒子群算法的各种应用及当前研究前沿热点。-With regard to various applications of particle swarm optimization algorithm and the frontier of current research hotspot.
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下载文件列表
文件名 | 大小 | 更新时间 |
---|---|---|
粒子群论文 | ||
..........\GA与PSO结合 | ||
..........\...........\A Hybrid of Genetic Algorithm and Particle Swarm.pdf | ||
..........\...........\Hybrid Evolutionary Algorithm Based on PSO and GA mutation.pdf | ||
..........\...........\Hybrid Evolutionary Algorithms Based on PSO and GA.pdf | ||
..........\key—A Hybrid Particle Swarm Algorithm.pdf | ||
..........\PSO与混沌搜索 | ||
..........\.............\A Hybrid Particle Swarm Algorithm with.pdf | ||
..........\PSO引入GA的交叉 | ||
..........\...............\Using Selection to Improve Particle Swarm Optimization.PDF | ||
..........\PSO引入GA选择机制 | ||
..........\.................\DEPSO Hybrid Particle Swarm with.pdf | ||
..........\PSO引入变异 | ||
..........\...........\Particle Swarm Optimization with Gaussian.pdf | ||
..........\PSO引入惯性权重 | ||
..........\...............\A Modified Particle Swarm Optimizer.pdf | ||
..........\...............\A Modified Particle Swarm OptimizerAlgorithm.PDF | ||
..........\...............\A New Optimizer Using Particle Swarm Theory.pdf | ||
..........\...............\Comparing Inertia Weights and Constriction Factors in Particle Swarm.PDF | ||
..........\...............\Empirical Study of Particle Swarm Optimization.PDF | ||
..........\...............\Fuzzy Adaptive Particle Swarm Optimization.pdf | ||
..........\...............\The Fully Informed Particle Swarm.pdf | ||
..........\...............\The Particle Swarm—Explosion | Stability | and.pdf |
..........\...............\Tracking and Optimizing Dynamic Systems with Particle Swarms.pdf | ||
..........\...............\一种动态改变惯性权的自适应粒子群算法.pdf | ||
..........\...............\粒子群优化算法的惯性权值递减策略研究.pdf | ||
..........\PSO引入模拟退火 | ||
..........\...............\基于模拟退火的粒子群优化算法.pdf | ||
..........\Simulation of a New Hybrid Particle Swarm Optimization Algorithm.pdf | ||
..........\免疫粒子群优化算法 | ||
..........\..................\A New Class of Hybrid Particle Swarm Optimization Algorithm.pdf | ||
..........\..................\Energy transmission modes based on Tabu search and particle swarm hybrid optimization algorithm.pdf | ||
..........\..................\Hybrid discrete particle swarm optimization algorithm for capacitated vehicle routing problem.pdf | ||
..........\..................\一种免疫粒子群优化算法及在小波神经网络学习中的应用.pdf | ||
..........\..................\免疫粒子群优化算法.pdf | ||
..........\..................\免疫粒子群优化算法及应用.pdf | ||
..........\..................\免疫粒子群优化算法在图像融合中的应用.pdf | ||
..........\..................\免疫粒子群优化算法在车间作业调度中的应用.pdf | ||
..........\..................\免疫粒子群优化算法求解旅行商问题.pdf | ||
..........\..................\基于人工免疫粒子群优化算法的动态聚类分析.pdf | ||
..........\..................\基于克隆选择的免疫粒子群优化算法.pdf | ||
..........\..................\基于免疫粒子群优化算法的影像纹理分类(1).pdf | ||
..........\..................\基于免疫粒子群优化算法的影像纹理分类.pdf | ||
..........\..................\基于免疫粒子群优化算法集成的多序列联配.pdf | ||
..........\..................\基于自适应免疫粒子群优化算法的配电网状态估计(1).pdf | ||
..........\..................\基于自适应免疫粒子群优化算法的配电网状态估计.pdf | ||
..........\..................\混沌免疫粒子群优化算法在BP网络训练中的应用.pdf | ||
..........\协同粒子群优化算法 | ||
..........\多目标优化 | ||
..........\..........\IEEEXplore[6].pdf | ||
..........\..........\Particle Swarm with Extended Memory for Multiobjective Optimization.pdf | ||
..........\电力系统优化控制 | ||
..........\................\State Estimation and Optimal Setting of Voltage Regulator.pdf | ||
..........\粒子群在动态极值中的应用 | ||
..........\........................\A Dynamic Adaptive Particle Swarm Optimization.pdf | ||
..........\........................\Tracking and Optimizing Dynamic Systems with Particle Swarms.pdf | ||
..........\........................\Tracking non-Stationary Optimal Solution by Particle Swarm Optimizer.pdf | ||
..........\........................\UNIFIED PARTICLE SWARM OPTIMIZATION FOR TACKLING.pdf | ||
..........\粒子群在控制工程中的应用 | ||
..........\........................\A Particle Swarm Optimization Approach for.pdf | ||
..........\粒子群局部最优化 | ||
..........\................\Particle Swarm Optimiser with Neighbourhood Ope |