搜索资源列表
7311
- 基于遗传算法的电力系统无功优化程序，可以帮您更好的进行电力系统的优化电力虚拟系统无功能-Based on genetic algorithm for reactive power optimization program that can help you make better optimization of power system non-functioning power virtual systems
RoutingInWSN
- Routing in Wireless Sensor Networks Using Ant Colony Optimization的中文小弟毕设的内容之一 自己翻译的 效果一般 仅供参考-Routing in Wireless Sensor Networks Using Ant Colony Optimization of Chinese younger brother one of their own complete set of the contents of the translatio
minifab
- 蚁群 调度优化 100个工件调度，50个工件调度 40个工件调度-Ant colony optimization method for 100 job scheduling, job scheduling 40 of 50 job scheduling
BG-PSO
- Bacterial Foraging Orientec by Particle swarm optimization_国外人写的细菌粒子群算法，matlab实现求函数优化-Bacterial Foraging Orientec by Particle swarm optimization
wishbone
- 基于matlab的suspension system 优化-adams suspension system optimization
coherencee mvdr
- —The minimum variance distortionless response (MVDR) approach is very popular in array processing. It is also employed in spectral estimation where the Fourier matrix is used in the optimization process. First, we give a general form of the M
BasedonMATLABpowerfacorcorrectioncircuitsimulation
- 对一种三相无源功率因数校正电路进行了参数的优化和仿真，仿真结果表明，运用Matlab中的SimPowerSystems模块对复杂的电路进行仿真分析和研究，不失为一种准确、直观有效的方法。 -Of a three-phase passive power factor correction circuit parameter optimization and simulation results show that the use of Matlab in SimPowerSystems modul
GA_for_clustering
- Genetic algorithms (GAs) have recently been accepted as powerful approaches to solving optimization problems. It is also well-accepted that building block construction (schemata formation and conservation) has a positive influence on GA behavior.
Unconstrainedoptimizationofcontinuousfunctionofart
- 此源码是对人工蚁群算法的一种实现，用于无约束连续函数的优化求解，对于含有约束的情况，可以先使用罚函数等方法，把问题处理成无约束的模型，再使用本源码进行求解。-This source code is an implementation of artificial ant colony algorithm for unconstrained continuous function optimization, with constraints for the case, you can start u
Constrained-optimization-problems
- 主要是求解最优化问题，这对于求解最优方案或者路线很有用途-Primarily for solving optimization problems, optimal solution for solving the very purpose or route
bayesianswarm
- This code expains bayesian particle swarm optimization method.All files have been written on matlab 2007a. This method has been explianed with various benchmark functions. This optimization method can be directly compared with other unconstrained opt
ConstrainedOptimization
- Constrained optimization has been explained with matlab 2007a. This has been explained with various benchmark functions. The main program can be directly applied to knapsack problem and portfolio optimization problem directly. These programs have b
qpso
- Quantum Particle Swarm Optimization matlab
GENMPPTSS
- 风力发电运行最大风能追踪控制S函数优化代码，实现了风力发电运行时发电机模型的M语言编程 -Wind power tracking control of the largest wind energy S function optimization code, run-time to achieve a wind power generator model M-language programming
Synthesis_of_Antenn_Array_Using_GA_and_Design_Matl
- 遗传算法在非线性数值优化方面有着很强的生命力 ,适于波束赋形阵列天线的综合。Matlab 具有很强的数值计算能力和数据图视功能 ,经过二十多年的发展 ,逐渐成为工程师们进行数值优化的首选计算机语言。以一部具有余割平 方波束的雷达搜索天线阵为例 ,采用遗传算法对其馈电相位进行优化 ,优化结果与目标吻合。同时给出其主要节点的 Matlab程序。-Nonlinear numerical optimization genetic algorithm has a strong vitality, suit
GeneticAlgorithm
- 遗传算法优化后计算潮流的一个改进程序，给大家-Genetic algorithm optimization of a trend of improvement after the calculation procedure for everyone to see
liziqun
- 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
swarm_optimization-Solve-the-TSP-problem
- 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.
Multi-objective_optimization_algorithm
- 基于群体搜索的遗传算法求解多目标优化问题具有独特的优势,多目标优化算法已有的研究大多为 算法的设计和数值实验效果的比较,理论研究则很少,本文作者给出了一种求解多目标优化问题的新遗传算法 (RMOGA) ,并用Markov 链的理论对RMOGA 的收敛性进行了研究,其结果表明RMOGA 依概率收敛到问题的 Pareto 前沿面-Population-based genetic algorithm search for multi-objective optimization probl
SVMhybridsystem
- A distributed PSOSVM hybrid system with feature selection and parameter optimization -Abstract This study proposed a novel PSO–SVM model that hybridized the particle swarm optimization (PSO) and support vector machines (SVM) to improve the clas