搜索资源列表
hybrid-GAaPSO.pdf.tar
- Novel hybrid genetic algorithm & particle swarm opitimization
PSOLS_SVM
- 有关于粒子群法以及用粒子群法来优化支持向量机法的研究论文-Research papers on particle swarm method and particle swarm optimization support vector machine
PSOSVM
- 有关于粒子群法以及用粒子群法来优化支持向量机法的研究论文-Research papers on particle swarm method and particle swarm optimization support vector machine
PSO-Algorithm
- 粒子群优化(Particle Swarm Optimization, PSO),又称微粒群算法,是由J. Kennedy和R. C. Eberhart等于1995年开发的一种演化计算技术,来源于对一个简化社会模型的模拟。-Particle Swarm Optimization (Particle Swarm Optimization, PSO), also known as particle swarm optimization, by J. Kennedy and RC Eberhart eq
A-PSO-approach-to-clustering
- 一种较ACO、ABC算法优越的 PSOclustering-a particle swarm optimization approach to clustering
PSO_winter
- Particle swarm optimization algorithm
pso
- 子群优化算法中,粒子群由多个粒子组成,每个粒子的位置代表优化问题在D维搜索空间中潜在的解。根据各自的位置,每个粒子用一个速度来决定其飞行的方向和距离,然后通过优化函数计算出一个适应度函数值(fitness)。-Subgroup of particle swarm optimization algorithm is composed by a number of particles, each particle' s position represents to optimize the p
pso_WSN_HOMOGENEOUS
- Particle swarm optimization in wireless sensor networks
discrete-oEP
- 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.
matlab-code
- 混合粒子群算法代码及其混合粒子群算法代码大全-Hybrid particle swarm algorithm code and its hybrid particle swarm algorithm code.
OPSO
- Research on multi-mode resource constrained project scheduling based on particle swarm optimization algorithm.rar
linxin
- 针对量子粒子群优化算法在处理高维复杂函数时存在的收敛速度慢、易陷入局部极小等问题,提出了混沌量子粒子群优化算法。-Abstract:Using quantum-behaved particle swarmoptimization (QPSO) to handle complex functions with high-dimension has the problems of low convergence speed and sensitivity to local convergence
lijinj
- 提出了一种基于反向学习机制的改进量子粒子群算法,采用反向学习机制增加种群的多样性,使搜索效率有了较大的提高,有效地避免了算法早熟收敛。-An improved quantum particle swarm optimization (QPSO) based on reverse learning is presented in this paper, which adopts reverse learning to increase the diversity of the popula
dsad
- :智能算法如粒子群算法已被应用于PID控制器的参数优化,以弥补传统优化方法容易产生振荡和较大超调量 的不足,但是粒子群算法存在易于早熟的缺点,在分析量子粒子群算法的基础上,提出了使用量子粒子群算法优化PID控 制器的参数。为了兼顾控制系统的各项性能指标,根据控制器的实际要求对各项指标进行加权作为算法的目标函数,对 PID控制器进行多目标寻优。通过2个传递函数实例,分别使用z—N、粒子群算法和量子粒子群算法进行了PID控制器 参数优化设计,并对结果进行了分析。-Abstract:H
dsada
- 针对火电厂循环水加酸控制系统存在控制系统对象难以建立、非线性和时变的特性,采用了改进的粒子群优化 算法优化PID参数,使得控制器可在不同环境温度下采用不同的PID参数.实际运行结果表明,该系统能够克服环境温 度带来的干扰,使循环水pH值被控制在给定值范围内.-Water plus acid control system for thermal power plant control system exists object is difficult to establish, nonli
dsaddsafds
- PID控制器的性能取决于其控制参数的组合,针对其参数的整定和优化问题,提出了应用一种改进的粒子群优化算法,该 算法借鉴了遗传算法的杂交机制,并采用惯性权值的非线性递减策略。用以加速算法的收敛速度和提高粒子的搜索能力。将该算 法应用于一个二阶系统的PID控制器参数的优化。仿真结果表明该改进的粒子群算法具有比传统粒子群算法和遗传算法更好的 优化效果,具有一定的工程应用前景。-Abstract:PID controller’s performance completely depends
04470122.rar
- This paper proposes a novel and computationally efficient global I< optimization method based on swarm ntelligence for locating ti nodes in a WSN environment. The mean squared range error of a all neighbouring anchor nodes is taken as the obj
Presentation_on_ELD_using_PSO.
- presentation on Basics of Economic load dispatch using particle swarm optimization,presentation on Basics of Economic load dispatch using particle swarm optimization
PF_algorithms
- 这个文档描述了一些关于粒子群的算法都是比较新颖的,建议大家下载之后参考一下-This document describes some of the particle swarm algorithm are more innovative, suggest you consult after download
QPSOC
- Application of quantum-behaved particle swarm algorithm in clustering of genes量子行为粒子群算法在基因聚类中的应用-Application of quantum-behaved particle swarm algorithm in clustering of genes