搜索资源列表
zibianga
- 自己编写的遗传算法,利用了量子粒子群算法-I have written a genetic algorithm
TSP-based-on-improved-pso
- 基于对粒子群优化算法原理的分析,实现了一种基于TSP的改进的粒子群优化算法:求解TSP的混合粒子群算法,结合遗传算法、蚁群算法和模拟退火算法的思想来解决TSP问题。-Particle swarm optimization based on the principle of the analysis, implemented based on TSP, improved particle swarm optimization algorithm: solving the TSP hybrid pa
rrpso
- 基于遗传交叉的粒子群优化算法有很好的计算效果-Genetic cross-PSO has good calculation results
GA-a-PSOPBP
- 遗传算法及粒子群算法优化的BP神经网络,用于多输入多输出的神经网络预测模型-GA and PSO optimized BP neural network. Can be used for ANN prediction models with multiple inputs and outputs
DVHOPS
- 基于粒子群和基于PSO和基于遗传算法的DV-hop算法的定位,有比较好的效果-Particle swarm based PSO, based on genetic algorithm DV-hop positioning algorithm, a relatively good results
matlab
- matlab智能算法程序例子,例子中详细介绍了神经网络法遗传算法粒子群算法等解决寻优问题-Examples of intelligent algorithm matlab program, described in detail in the example neural network genetic algorithm particle swarm algorithm to solve the optimization problem
GAaPSO
- 遗传-粒子群算法 PSO-GA算法 解决多目标优化算法问题,针对最优解求解可得到更好的解,接近最优的目标值。(Genetic algorithm (PSO) PSO-GA algorithm is used to solve the multi-objective optimization problem, and the better solution is obtained for the optimal solution, and the near optimal target valu
MATLAB智能算法30个案例分析——源代码
- 算法优化,包括粒子群算法,遗传算法以及多种神经网络(optimization algrithm,include PSO algrithm GA and other kind algrithm ,and many kinds of Nural network)
PSO算法程序
- 粒子群优化算法是一种基于群体智能的演化计算技术。与遗传算法相比,PSO没有遗传算法中的选择(Selection)、交叉(Crossover)、变异(Mutation)等操作,而是通过粒子在解空间追随最优的粒子进行搜索。(Particle Swarm Optimization (PSO) is an evolutionary computing technique based on group intelligence. Compared with the genetic algorithm, P
粒子群算法
- 粒子群算法代码,一种搜寻最优解的算法。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。(Particle swarm algorithm, a search algorithm for optimal solutions. It does not have the "Crossover" and "Mutation" operation
pso
- 粒子群优化算法的一个应用,有基本的注释,需要一定水平才能看明白(an example of pso algorithom)
智能算法
- 智能算法,含有遗传算法、模拟退火算法、BP神经网络优化、免疫算法、粒子群算法、蚁群算法等智能算法,MATLAB亲测可用。(Intelligent algorithm, including genetic algorithm, simulated annealing algorithm, BP neural network optimization, immune algorithm, particle swarm algorithm, ant colony algorithm and other
liziqun
- 粒子群算法,也称粒子群优化算法或鸟群觅食算法(Particle Swarm Optimization),缩写为 PSO, 是近年来由J. Kennedy和R. C. Eberhart等 开发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"
pso
- 应用粒子群算法进行迭代优化,寻找目标最优值(Particle swarm optimization (PSO) algorithm is used for iterative optimization to find the optimal target value)
Matlab算法大全pdf
- matlab算法大全,包含了许多matlab算法,粒子群,蚁群,回归,遗传算法等(Matlab algorithm Daquan)
matlab智能算法30个案例代码
- 用于应用仿真,30个案例,方便更新,遗传算法,粒子群(ant cloncy)
pso
- 用于优化参数,粒子群算法,也称粒子群优化算法或鸟群觅食算法(Particle Swarm Optimization),缩写为 PSO, 是近年来由J. Kennedy和R. C. Eberhart等[1] 开发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”
chapter3
- 遗传算法,粒子群算法优化bp神经网络并预测()
kriging
- 改进的粒子群优化克里金模型,普通的克里金模型MATLAB数据包与遗传算法的结合(Improved particle swarm optimization model of Kriging, Kriging model MATLAB data packet and genetic algorithm combined with the general of the)
66766911matlab遗传算法程序(new)
- 基于matlab编程的,关于粒子群的问题。(Based on matlab programming, on the issue of particle swarms.)