搜索资源列表
BINARYPSO
- binary pso for particle swarm optimisation
importat_pso
- particle swarm optimisation document pdf
thesis.somu
- PARTICLE SWARM OPTIMISATION APPLIED TO ECONOMIC LOAD DISPATCH PROBLEM
swarm-chapter
- Swarm Intelligence: Foundations, Perspectives and Applications
ijrte0101611615
- IMAGE SEGMENTATION USING ACO: THE CONCEPT OF SWARM INTELLIGENCE
optimPID
- i need the matlab coding for pid controller using particle swarm optimization
psocode1
- 基本粒子群优化算法（pso算法）包含程序代码和注解-Particle swarm optimization (pso algorithm) contains program code and comments
b
- 一种求解Job-Shop调度问题的 混合自适应变异粒子群算法 -Solving Job-Shop scheduling problem by hybrid particle swarm optimization with adaptive mutation
pid
- 基于改进粒子群算法整定的PID网络流量控制研究-Particle swarm optimization based on improved PID tuning of network traffic control
CPSOieee14
- 用粒子群算法进行无功优化，比较实用，希望对大家有帮助，14节点的，-Particle swarm algorithm with reactive power optimization, more practical, we want to help, 14 nodes,
Particle_Swarm_Optimization
- It is a book for swarm optimization and it contains various topics solved by swarm optimizationt techniques
Ant-particle-swarm
- 基于蚁群粒子群的模糊神经网络交通流量预测，是做毕业设计参考的文献，希望对做交通流预测的同学有帮助-Ant particle swarm-based fuzzy neural network traffic flow forecasts, is doing graduate design reference literature, and help students to do traffic flow forecasting
Lamb---Particle-Swarm-Optimization-(PSO)
- PARTICLE SWARM OPTIMIZATION BASICS
swarm
- 在eclipse的环境下安装swarm，学会swarm的第一步，告之swarm的一些基本配置
Improved-Artificial-Fish-Swarm-Algorithm
- Robot Global Path Planning Based on Improved Artificial Fish-Swarm Algorithm
Improving-the-Fish-Swarm-Algorithm-for-Robot-Path
- The Research of Improving the Fish Swarm Algorithm for Robot Path Planning
Particle-Swarm-Optimization
- This paper presents an overview of our most recent results concerning the Particle Swarm Optimization (PSO) method. Techniques for the alleviation of local minima, and for detecting multiple minimizers are described. Moreover, results on the abil
Particle-Swarm-Optimization
- 粒子群算法在仿真生物群体社会活动的基础上,通过模拟群体生物 相互协同寻优能力,从而构造出一种新的智能优化算法。但粒子群算法 本身来源于生物群体现象,其理论基础并不完备。而且由于其属于随机 的近似优化算法,主要应用于连续区域,因此该算法存在早熟收敛和对 离散性的问题难以应用的缺点。因此,对粒子群算法的理论分析、算法 改进及离散性问题的研究具有重要意义的 -The Research of Basic Theory and Improvement on Particle Swa
A-PARTICLE-SWARM-OPTIMIZATION
- A PARTICLE SWARM OPTIMIZATION ALGORITHM BASED ON UNIFORM DESIGN
Particle-Swarm-Optimization
- 本文提出变量随机分解策略，增加关联变量分配到同组的概率，使得算法更好的保留变量间的关联性，并将合作协同进化框架融合到算法中，提出了基于大规模变量分解的多目标粒子群优化算法-In this paper, a stochastic variable decomposition strategy is proposed to increase the probability of assigning related variables to the same group, which makes th