搜索资源列表
PSO
- 粒子群算法，也称粒子群优化算法（Particle Swarm Optimization），缩写为 PSO， 是近年来发展起来的一种新的进化算法(Evolutionary Algorithm - EA)。PSO 算法属于进化算法的一种，和模拟退火算法相似，它也是从随机解出发，通过迭代寻找最优解，它也是通过适应度来评价解的品质，但它比遗传算法规则更为简单，它没有遗传算法的“交叉”(Crossover) 和“变异”(Mutation) 操作，它通过追随当前搜索到的最优值来寻找全局最优。这种算法以其实现
pso-bp
- 粒子群算法，也称粒子群优化算法（Particle Swarm Optimization），缩写为 PSO， 是近年来发展起来的一种新的进化算法(Evolutionary Algorithm - EA)。PSO 算法属于进化算法的一种，和模拟退火算法相似，它也是从随机解出发，通过迭代寻找最优解，它也是通过适应度来评价解的品质，但它比遗传算法规则更为简单，它没有遗传算法的“交叉”(Crossover) 和“变异”(Mutation) 操作，它通过追随当前搜索到的最优值来寻找全局最优。这种算法以其实现
simulated-annealing
- 清华大学本科生智能优化课程报告，用模拟退火算法和遗传算法解决TSP问题，含核心代码和注释-Tsinghua University undergraduate course reports intelligent optimization, simulated annealing algorithm and genetic algorithm to solve TSP problem, including the core code and comments
a-few-suanfa-jisuan-TSP
- 各种算法用来求解TSP问题的MATLAB源程序，包括蚁群算法，遗传算法，模拟退火-Ant colony algorithm using matlab simulation platform developed: algorithm, path shows that human-computer interaction control
PSO
- 各种粒子群或改进型粒子群算法 1）粒子群优化算法(求解无约束优化问题) 1>PSO(基本粒子群算法) 2>YSPSO(待压缩因子的粒子群算法) 3>LinWPSO(线性递减权重粒子群优化算法) 4>SAPSO(自适应权重粒子群优化算法) 5>RandWSPO(随机权重粒子群优化算法) 6>LnCPSO(同步变化的学习因子) 7>AsyLnCPSO(异步变化的学习因子)(算法还有bug) 8>SecPSO(用二阶粒
ga-tabu-
- 遗传、禁忌、模拟退火等算法求解背包问题C-Genetic, contraindications, simulated annealing algorithm for knapsack problem C++
GA_SA.matlab
- 模拟退火算法和遗传算法，智能算法里面的两个重要算法思想；程序已经通过了测试，可直接运行；-Simulated annealing algorithm and genetic algorithms, intelligent algorithms inside two important algorithms thought the program has passed the test can be run directly
nice
- 除了蚁群算法，可用于PID参数优化的智能算法还有很多，比如遗传算法、模拟退火算法、粒子群算法、人工鱼群算法，等等。-In addition to the ant colony algorithm, can be used to optimize the PID parameters, there are many intelligent algorithms, such as genetic algorithms, simulated annealing algorithm, particle
PSO
- 用二阶振荡粒子群优化算法、混沌粒子群优化算法、基于选择的粒子群优化算法、基于交叉遗传的粒子群优化算法、基于模拟退火的粒子群优化算法求解无约束优化问题-Second order oscillation PSO, chaotic particle swarm optimization algorithm, particle swarm optimization, genetic optimization algorithm based on cross particle swarm optimiza
matlab
- 很全的智能算法，包括粒子群算法、模拟退火算法、遗传算法、TSP问题求解、蚁群算法、人工神经网络算法以及相关结合算法-A full of intelligent algorithm, including the particle swarm algorithm, simulated annealing algorithm, genetic algorithm, the TSP problem, ant colony algorithm, and the combination of artific
rengongzhinengjituxaingchuli
- 人工智能算法，模拟退火法，遗传算法，matlab数字图像处理，基于剩余矩形原理的矩形件排样优化程序-The layout optimization of rectangular parts has been studied, and the program is designed to solve the problem of rectangular layout optimization
monituihuo_tspwenti
- 基于遗传算法的旅行上问题的模拟退火解决算法及程序-Simulated annealing algorithm and program for traveling problem based on genetic algorithm
GA_CVRP
- 用遗传算法和模拟退火实现的限重的VRP(CVRP),250个customer，一个仓库，数据文件在里面，导入eclipse就可以运行。-this is a hybrid algorithm of GA and SA to solve CVRP problem, which is devopled on eclise with java.it contains a input dataset involved with 249 customers and one single depot.
ArtificialIntelligence
- 一些人工智能方面的学习源码，用java写的。包括遗传算法 alpha-beta剪枝 模拟退火算法 九宫格 传教士与野人等问题或者算法实现源码。-Some artificial intelligence to learn the source code, written in java. Including genetic algorithm alpha-beta pruning simulated annealing algorithm and other missionaries and Sa
matlab
- MATLAB灰色预测，遗传算法，模拟退火，神经网络，粒子群算法等。-MATLAB grey prediction, genetic algorithm, simulated annealing, the neural network and particle swarm optimization (pso) algorithm, etc
TSP(GAaSA)
- 基于模拟退火的遗传算法求解旅行商TSP问题-TSP by GA+SA
matlab--suanfa25li
- 压缩包内有25例有关遗传算法、粒子群、模拟退火、以及相关算法的结合，并有大量例子，希望能帮到各位。-Compressed packages have combined 25 cases of genetic algorithms, particle swarm, simulated annealing, and related algorithms, and there are plenty of examples, we hope to help you.
TSP
- 1.用模拟退火解决TSP问题 2.用遗传算法解决0/1背包问题-1. solve TSP problem using simulated annealing 2. 0/1 knapsack problem solved using genetic algorithms
zhinengjisuan
- 智能计算主要程序源码，有matlab的模糊聚类图像分割，还有VC++编写的模拟退火和遗传算法。-Intelligent Computing The main program source code, there is matlab fuzzy clustering image segmentation, as well as VC++ Prepared simulated annealing and genetic algorithms.
mgasa
- 本资源是Mgasa算法解决TSP问题的Matlab代码，资源中包括mgasa_main(Mgasa算法解决TSP问题代码)，mgasa_fitness(适应度求取函数代码)，mgasa_annealing(Mgasa算法中模拟退火代码)，mgasa_select(遗传算法中选择函数代码)，mgasa_crossover(遗传算法中染色体交叉互换函数代码)，mgasa_mutation(遗传算法中基因突变函数代码)，mgasa_change(Mgasa算法中选择过程代码)。同时代码中有Locati