搜索资源列表
matlab
- 粒子群优化算法和遗传优化算法的matlab M文件(Particle swarm optimization algorithm and genetic optimization algorithm)
73303183
- 本程序是关于粒子群优化算法PSO的代码 运行环境是vc6 0()
ypea127-particle-swarm-optimization
- 利用基于种群的PSO粒子群优化算法进行结构寻优(Using PSO's Intelligent Optimization Algorithm for Structural Optimization)
PSO算法解决背包问题
- 粒子群算法与多目标优化问题的结合,解决背包问题实例(Combining particle swarm optimization with multi-objective optimization, we solve knapsack proble)
PSO_immu
- 更好解决NP-hard问题,智能启发式算法,降低了传统穷举法的时间复杂度,在解决优化问题方面有突出表现。程序带有大量注释可供快速学习入门。(In order to solve the NP-hard problem better, intelligent heuristic algorithm reduces the time complexity of the traditional exhaustive method, and has outstanding performance in s
PSO-Sphere
- 粒子群算法,一种智能优化算法,带有测试函数sphere(Particle swarm optimization (PSO), an intelligent optimization algorithm)
New folder
- 采用粒子群算法对滑模控制器参数进行整定,对象为倒立摆(The particle swarm optimization algorithm is used to adjust the parameters of the sliding mode controller. The object is inverted pendulum.)
matlab代码
- 该代码是基于粒子群算法优化的支持向量机,适用于分类问题(The code is based on particle swarm optimization support vector machine, suitable for classification problem.)
nichingparticle-swarm-optimization
- 粒子群优化算起源于对鸟群、鱼群以及对某些社会行为的模拟,是一种基于群体智能的进化计算技术。而小生境技术则起源于遗传算法,这种方法能使基于群体的随机优化算法形成物种,从而使相应的优化算法具有发现多个最优解的能力。而多分类器集成技术则是通过多个分类器进行某种组合来决定最终的分类,以取得比单个分类器更好的性能。多分类器集成技术要求基元分类器不仅个体性能要好并且其差异度要大,这与小生境技术形成物种的能力具有很多内在的相似性。目前己经有研究者将小生境技术应用于多分类器集成,但由于传统的小生境技术仍然不完善
智能优化算法及其matlab实例code
- 遗传算法 粒子群 蚁群等7种算法,可解决求极值问题以及旅行商问题(Genetic algorithm, particle swarm optimization and ant colony algorithm can solve extreme value problem and traveling salesman problem. 7 algorithms are used to solve extreme value problem and traveling salesman probl
PSO程序代码
- 对生产线上的工位布置优化,解决NP难问题。求解最优平衡率下的工位布置,平衡个工位的负荷。达到人员精简和降低成本的目的。(Optimize the workstation layout and solve the NP-hard problem. The workstation layout under the optimal balance rate is solved, and the load of each station is balanced. Achieve the goal of
多目标粒子群算法
- 计算最短路径,应用混合粒子群算法,可更改(Computing the shortest path, using hybrid particle swarm optimization, can be changed)
智能优化算法应用于近红外光谱波长选择的比较研究
- 近红外光谱(NIRS)是一种间接分析技术,其应用需建立相应的校正模型。为了提高模型的解释能力、预测准确度和建模效率,需要对NIRS 进行波长选择,优选最小化冗余信息。选用蚁群优化(ACO)、遗传优化(GA)、粒子群优化(PSO)、随机青蛙(RF)和模拟退火(SA)5 种智能优化算法对烟叶总氮和烟碱近红外光谱数据进行特征波长选择,结合偏最小二乘(PLS)算法,构建了多个烟叶总氮和烟碱的校正模型,(Near infrared spectroscopy (NIRS) is an indirect an
粒子滤波实例
- 粒子群算法优化粒子滤波 剩余寿命估计的研究(Particle Swarm Optimization for Residual Life Estimation of Particle Filter)
自适应权重的粒子群算法
- 基于混沌自适应粒子群优化支持向量机~~~~(Support Vector Machine Based on Chaotic Adaptive Particle Swarm Optimization~~)
CLSPSO
- matlab程序,混沌粒子群算法,混沌优化和粒子群优化两者的结合(Matlab program, chaotic particle swarm optimization)
MATLAB智能算法30个案例分析代码
- 压缩包内是关于BeiHang出版的matlab智能算法30个案例的代码,对于学习理解智能算法的原理和编程有一定的帮助。如遗传算法、粒子群算法、免疫优化算法、模拟退火算法、BP算法等。(there are 30 matlab codes, which match a book about intelligence algorithms,such as genetic algorithms, PSO, ACO,BPO,etc. WISH that will be help for you.)
智能微电网中利用粒子群算法实现微电网多目标优化
- 针对智能微电网优化配置问题,分别对微电网中风机、光伏和储能电池进行容量设计,并采用粒子群算法对系统进行优化配置。(Aiming at the optimization configuration of the smart microgrid, the capacity design of the wind turbine, photovoltaic and energy storage batteries in the microgrid are respectively carried out
PSO_多目标优化
- 对微电网中多个目标的优化采用粒子群算法,并对控制量进行求解从而得到目标精度(Particle swarm optimization (PSO) is used to optimize multiple objectives in microgrid, and the control variables are solved to obtain the target accuracy)
算法优化
- 针对减速器的设计,利用多种启发式的优化算法进行设计,不同于常规的工程最优化方法。(For the design of the reducer, a variety of heuristic optimization algorithms are used for design, which is different from conventional engineering optimization methods.)