Description: 基本的粒子群算法以及使用具有量子行为的粒子群算法，能够很好的用于全局的寻优-The basic particle swarm optimization and the use of a quantum particle swarm behavior can be very good for the overall optimization Platform: |
Size: 2048 |
Author:刘兴阳 |
Hits:
Description: matlabb标准粒子群优化算法。
电力系统的分析和计算中，需要不同网络结构和参数。在应
用这些参数之前，收集和整理工作会花费大量的时间和精力。-matlabb standard particle swarm optimization. Power system analysis and calculation, require different network structures and parameters. Before applying these parameters, the collection and collation will spend a lot of time and effort. Platform: |
Size: 5120 |
Author:liulei |
Hits:
Description: 利用粒子群算法做的关于基于指数熵对数熵TSALLIS熵的多阈值的图像分割，内附无优化算法，可以做时间比较-Using particle swarm optimization to do on the entropy-based index of the number of entropy TSALLIS entropy of multi-threshold image segmentation, containing no optimization, can do more time Platform: |
Size: 16384 |
Author:张宇飞 |
Hits:
Description: 一个基于粒子群优化算法源码,（PSO）的50个城市TSP问题的求解，可推广至类似NP.-A source code based on particle swarm optimization, (PSO) of the 50 cities TSP problem solving, can be extended to similar NP. Platform: |
Size: 2048 |
Author:抛弃 |
Hits:
Description: 优秀论文及配套源码。首先阐述了负荷预测的应用研究现状，概括了负荷预测的特点及其影响因素，归纳了短期负荷预测的常用方法，并分析了各种方法的优劣；接着介绍了作为支持向量机（SVM）理论基础的统计学习理论和SVM的原理，推导了SVM回归模型；本文采用最小二乘支持向量机（LSSVM）模型，根据浙江台州某地区的历史负荷数据和气象数据，分析影响预测的各种因素，总结了负荷变化的规律性，对历史负荷数据中的“异常数据”进行修正，对负荷预测中要考虑的相关因素进行了归一化处理。LSSVM中的两个参数对模型有很大影响，而目前依然是基于经验的办法解决。对此，本文采用粒子群优化算法对模型参数进行寻优，以测试集误差作为判决依据，实现模型参数的优化选择，使得预测精度有所提高。实际算例表明，本文的预测方法收敛性好、有较高的预测精度和较快的训练速度。-first expounds the recent application research of load forecasting, summarized the characteristics of load forecasting and influencing factors, summed up common methods of short-term load forecasting, and analyzed the advantages and disadvantages of each method then introduced statistical learning theory and the principle of SVM as the basis of support vector machine (SVM ) theory, SVM regression model is derived this paper adopted least squares support vector machine (LSSVM) model, according to the historical load data and meteorological data of a certain area of Zhejiang Taizhou, Analysised the various factors affecting the forecast, summed up the regularity of load change , amended "outliers" in the historical load data,the load forecasting factors to be considered were normalized. The two parameters of LSSVM have a significant impact on the model, but it is still soluted based on the experience currently. So, this paper adopted particle swarm optimization algorithm to optimized Platform: |
Size: 334848 |
Author:NBB |
Hits:
Description: 该文件为粒子群算法优化支持向量机模型参数的matlab代码
支持向量机模型为专门用于处理不平衡数据的成本控制型支持向量机模型
用粒子群算法优化模型中的三个主要参数：C1、C2、sigma-The file is in particle swarm optimization parameters of support vector machine model matlab code for support vector machine model designed for use with unbalanced data, cost control, support vector machine model using particle swarm optimization model of the three main parameters: C1, C2, sigma Platform: |
Size: 12288 |
Author:yudt002 |
Hits:
Description: 一种混沌粒子群嵌入优化算法及其仿真Embedded in a chaotic particle swarm optimization algorithm and simulation-Embedded in a chaotic particle swarm optimization algorithm and simulation Platform: |
Size: 55296 |
Author:shouji1023 |
Hits:
Description: 本程序是基于粒子群优化算法（PSO）的环形阵列天线方向图的仿真程序-This procedure is based on the ring particle swarm optimization Antenna Array Simulation Program Platform: |
Size: 162816 |
Author:张建安 |
Hits:
Description: A Binary Particle Swarm Optimization for Optimal Placement and Sizing
of Capacitor Banks in Radial Distribution Feeders with Distorted
Substation Voltages Platform: |
Size: 31744 |
Author:iman |
Hits:
Description: 关于粒子群算法的相关论文，共有文章17篇，可供有兴趣的朋友研究讨论-Particle Swarm Optimization on the relevant papers, a total of article 17, interested friends for study and discussion Platform: |
Size: 15796224 |
Author:杨婷婷 |
Hits:
Description: 量子粒子群优化算法，采用matlab编程，可实现快速优化多维函数，不易陷入局部最优值-Quantum particle swarm optimization algorithm, using matlab programming, multi-dimensional functions can be optimized for fast, easy to fall into local optimal value Platform: |
Size: 1024 |
Author:王兰彬 |
Hits:
Description: This paper present a new method to determine the
optimal tuning of the PID controller parameter of an AVR
system using Modified particle swarm optimization (MPSO)
algorithm-This paper present a new method to determine the
optimal tuning of the PID controller parameter of an AVR
system using Modified particle swarm optimization (MPSO)
algorithm Platform: |
Size: 474112 |
Author:reznvtb |
Hits:
Search - particle swarm optimization