搜索资源列表
Particle-Swarm-Optimization-C
- PSO同遗传算法类似，是一种基于迭代的优化算法-PSO is similar with the genetic algorithm is an iterative optimization algorithm based on
PSO
- 介绍了PSO算法，以及与遗传算法/人工神经网络的区别，并介绍了算法中参数的选取方法等内容。-Introduced the PSO algorithm, as well as with genetic algorithm/artificial neural network differences and describes the algorithm parameter selection methods and so forth.
A-new-approach-of-PSO-GA
- 基于PSO及遗传算法的改进，用于并行性方面的研究-PSO and Genetic Algorithm for the parallelism
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
39378
- This work investigates the practical application of support vector machine (SVM) to power transformer condition assessment. Partiuclarly, this paper proposes to integrate the SVM algorithm with two heuristic optimization algorithms which are
Yang_nature_book_part
- This work investigates the practical application of support vector machine (SVM) to power transformer condition assessment. Partiuclarly, this paper proposes to integrate the SVM algorithm with two heuristic optimization algorithms which are
39326
- This work investigates the practical application of support vector machine (SVM) to power transformer condition assessment. Partiuclarly, this paper proposes to integrate the SVM algorithm with two heuristic optimization algorithms which are
GA-on-pso-
- 基于遗传算法的电力系统无功优化的C语言程序-Power system based on genetic algorithm optimization of reactive C language program
Hybrid-PSO-with-Genetic
- This Matlab code is combine of Particle Swarm Optimazation (PSO) with Genetic Algorithm
psopt
- 关于PSO算法的最新改进，包括主要的测试函数，以及相关的代码描述-This is an implementation of Particle Swarm Optimization algorithm using the same syntax as the Genetic Algorithm Toolbox, with some additional options specific to PSO.
Intelligent-algorithm
- 智能算法，包括粒子群，改进粒子群，改进遗传算法等，可用于预测等领域！-Intelligent algorithms, including PSO, improved particle swarm, improved genetic algorithm can be used to predict other fields!
New-WinRAR-archive
- GENETIC ALGORITHM and pso combination
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- a technique used to hybrid pso and genetic algorithm for science applications
estimation-extended-Kalman-filter
- 针对感应电机扩展卡尔曼滤波器转速估计中难以取得卡尔曼滤波器系统噪声矩阵和测量噪声矩阵最优值的问题，提出了一种基于改进粒子群算法优化的扩展卡尔曼滤波器转速估计方法。算法通过融合遗传算法和粒子群算法的优点，采用可调整的算法模型对粒子群算法进行改进，将改进的粒子群算法对扩展卡尔曼滤波器中的系统噪声矩阵和测量噪声矩阵进行优化处理，将优化后的卡尔曼滤波器应用于感应电机转速估计。- Extended K
A-combination-of-genetic-algorithm-and-particle-s
- A combination of genetic algorithm and particle swarm optimization for optimal DG location and sizing in distribution systems Distributed generation (DG) sources are becoming more prominent in distribution systems due to the incremental dema
GA-PSO
- 粒子群算法与遗传算法的联合的GA-PSO算法运用，带有测试函数-Joint GA-PSO algorithm using particle swarm optimization and genetic algorithm with test function
GAPSOFCM
- 遗传算法和粒子群算法，应用于优化据数据集的聚类中心，结合FCM算法应用聚类分析的几篇文献。-Genetic algorithm and particle swarm optimization (pso) algorithm, are applied to optimization the clustering center of the data set
pso
- 粒子群算法是目前人工智能的基础算法，本程序是初学者更好的学习遗传算法的基础-Particle swarm algorithm is the basic algorithm of artificial intelligence. This procedure is the basis of the better learning genetic algorithm for beginners.
粒子群优化算法
- 粒子群优化（PSO）是一种进化计算技术（进化计算）。 捕食鸟行为的研究。粒子群算法（PSO）的基本思想是通过群体中个体之间的协作和信息共享找到最优解。 粒子群优化算法的优点是它简单且易于实现，没有多个参数。目前，它已广泛应用于函数优化、神经网络训练、模糊系统控制等遗传算法中。(The particle swarm optimization (PSO:Particle swarm optimization) is an evolutionary computing technology (Ev
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