搜索资源列表
PSOTool
- 求解非线性方程组方法有经典算法以及近年来流行的遗传算法.牛顿法及其改进形式,但是此类算法的收敛性在很大程度上依赖于初始点的选择,对于某些非线性方程组容易导致求解失败 为了克服经典算法的缺点,设计了求解非线性方程组的混合遗传算法,但依然对方程组和编码方法有很高要求。PSO是受到鸟群或者鱼群社会行为的启发而形成的一种基于种群的随机优化技术。它是一类随机全局优化技术,通过粒子间的相互作用发现复杂搜索空间中的最优区域。该算法是一种基于群体智能的新型演化计算技术,具有简单易实现、设置参数少、全局优化能力强
PSOPC
- 粒子群算法的智能优化,PSO 算法属于进化算法的一种,和遗传算法相似,它也是从随机解出发,通过迭代寻找最优解-Particle swarm intelligence optimization, PSO algorithm is an evolutionary algorithm, and genetic algorithm similarity, it is also starting from a random solution, find the optimal solution by it
The-Multi-user-Detection-ALGORITHM
- 联合智能(JI-MUD)多用户检测算法是由粒子群优化(PSO)算法,遗传算法(GA)和模拟退火(SA)算法-the joint intelligent multi-user detection (JI-MUD) algorithm which was composed by particle swarm optimization (PSO) algorithm, genetic algorithm (GA) and simulated annealing (SA) algorithm was p
PSOBP502
- Parsopoulos等采用罚函数法,利用非固定多段映射函数对约束优化问题进行转化,再利用PSO算法求解转化后问题,仿真结果显示PSO算法相对遗传算法更具有优越性,但其罚函数的设计过于复杂,不利于求解;Hu等采用可行解保留政策处理约束,即一方面更新存储中所有粒子时仅保留可行解,另一方面在初始化阶段所有粒子均从可行解空间取值,然而初始可行解空间对于许多问题是很难确定的;Ray等提出了具有多层信息共享策略的粒子群原理来处理约束,根据约束矩阵采用多层Pareto排序机制来产生优良粒子,进而用一些优良的
code
- 这是我自己编写的二进制频谱分配算法的代码,分别用粒子群算法和遗传算法实现.-spectrum allocation code for PSO and GA
genetic
- 用MATlab实现的遗传算法,i比较简单,适用于刚学习粒子群算法的人,大家可以交流一下-MATlab genetic algorithm, relatively simple, suitable for people new to the study of the particle swarm optimization (pso) algorithm, we can discuss
ACO-PID
- 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 in the intelligent algorithm of PID parameter optimization and there are many, such as genetic algorithm, simulated annealing algorithm, pa
psopt
- 粒子群算法,类似于遗传算法工具箱的调用语句-pso code
GAaPSO
- MATLAB环境下,有关遗传算法以及粒子群算法的程序-the program of GA and PSO in matlab
GAPSO
- 遗传和粒子群算法的多目标例程,用了几个测试函数,效果还不错-Inheritance and multi-objective particle swarm optimization (pso) routines, used several test functions, the effect is good
psoga
- 基于遗传算法的改进PSO算法,重点在于详细描述了遗传算法的交叉及变异操作,为新手提供最基本的编译思路。-Improved genetic algorithm based on PSO algorithm, the focus is a detailed descr iption of the genetic algorithm crossover and mutation operation for novices to provide the basic idea to compile.
GA_PSO
- GA_PSO为GA和PSO混合的优化算法,粒子群算法与遗传算法结合-GA_PSO optimization algorithm for mixed GA and PSO, PSO and Genetic Algorithm
PSOaGA
- 粒子群算法和遗传算法分别求解函数的最大值,并在传统的粒子群和遗传算法基础上做了改进,大大提高了搜索的效率-PSO and genetic algorithms to solve the maximum function, respectively, and in the traditional basis of particle swarm and genetic algorithms has been improved, greatly improving the efficiency of
cuckoo_search.m
- Xin she Yang提出的布谷鸟算法,用来解决最优化问题。相比于传统的遗传算法和粒子群算法,该算法的效率更高。-It is published by Xin she Yang and is able to solve the optimization question。it is one of the heuristic algorithm and has the advantage compared with the GA and PSO.
ycsf
- matlab 遗传算法GA,粒子群算法PSO,蚁群算法AS 前段时间上智能计算方法实验课上,自己做的程序。帖到这里,希望有人能改进它们,交流经验这样更有价值。 遗传算法解决最小生成树问题,PURFER编码。 粒子群算法做无约束最优化问题。 蚁群算法解决TSP问题。 -matlab genetic algorithm GA, particle swarm optimization PSO, some time ago on the ant colony algorithm intelligent
BPnetyingyong
- 神经网络各种应用举例很分析,和其他遗传算法,PSO算法进行对比-Neural network application example analysis, and other genetic algorithms, PSO algorithm were compared
PSO_about
- 粒子群算法matlab代码吐血推荐。粒子群算法,也称粒子群优化算法,是近年来发展起来的一种新的进化算法。它是从随机解出发,通过迭代寻找最优解,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。这种算法以其实现容易、精度高、收敛快等优点引起了学术界的重视,并且在解决实际问题中展示了其优越性。粒子群算法是一种并行算法。-PSO algorithm matlab cod
ALO
- 该程序为蚁狮(Antlion)搜索优化算法,ALO,具有比粒子群PSO、遗传算法GA等更优的性能-Antlion optimization algorithm
yichuansuanfa
- 遗传算法优化BP神经网络、改进的模糊C-均值聚类、遗传算法(粒子群算法、人工鱼群算法等)的投影寻踪模型等遗传算法的简单集合。-Genetic algorithm to optimize the BP neural network, an improved fuzzy C- average clustering and genetic algorithm,(particle swarm optimization (pso), artificial fish algorithm, etc.) of
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