搜索资源列表
GA-PSOPSO
- (粒子群算法)作为添加算子改进GA (遗传算法),供大家学习-(PSO), as the operator to add to improve the GA (genetic algorithm) for them to learn
java_evolutionary_algorithms
- 用Java实现的进化算法包。包括遗传算法、粒子群算法、memetic算法和进化策略算法。-evolutionary-algorithm Evolutionary Algorithm package implemented using Java. The package serves as a foundation class library, supporting the implementation many variants of Evolutionary Algorith
PSO_Java
- 同遗传算法比较，PSO的优势在于简单容易实现并且没有许多参数需要调整。目前已广泛应用于函数优化，神经网络训练，模糊系统控制以及其他遗传算法的应用领域，基于Java语言实现。-Compared with the genetic algorithm, PSO has the advantage is simple and easy and there is no need to adjust many parameters. Has been widely applied to function o
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
Particle-algorithm
- 粒子群优化算法(PSO)是一种进化计算技术(evolutionary computation)，有Eberhart博士和kennedy博士发明。源于对鸟群捕食的行为研究。 PSO同遗传算法类似，是一种基于叠代的优化工具。系统初始化为一组随机解，通过叠代搜寻最优值。但是并没有遗传算法用的交叉(crossover)以及变异(mutation)。而是粒子在解空间追随最优的粒子进行搜索。 同遗传算法比较，PSO的优势在于简单容易实现并且没有许多参数需要调整。目前已广泛应用于函数优化，神经网络训练
PSO
- 数学建模Pso算法 模拟退火 遗传算法-Pso mathematical modeling algorithm simulated annealing genetic algorithm, etc.
DeJong
- matlab平台下的测试函数DeJong，对于用来测试粒子群、遗传等智能算法的性能非常有用-matlab platform test function DeJong, used to test for the PSO, the performance of genetic algorithms and other useful intelligence
GA-to-RBF
- GA to RBF 神经网络，遗传算法，滤波器，MATLAB-GA to RBF neural networks, genetic algorithms, filters, MATLAB
pso-simulation
- 粒子群优化算法的源程序代码，其中结合了遗传算法进行优化。-Particle swarm optimization algorithm source code, which combines the genetic algorithm optimization.
GA-PSO
- 遗传算法结合粒子群算法的例子，采用matlab编程-Particle swarm optimization with genetic algorithms example, using matlab programming
csa-ga-pso
- 人工免疫算法、粒子群算法、遗传算法、寻优的matlab程序 -Artificial immune algorithm, particle swarm optimization, genetic algorithms, optimization matlab program
ga-pso-aca_esn
- 用遗传粒子群蚁群混合算法来优化回升状态网络训练后的最终值。-Mixed genetic particle swarm ant colony algorithm to optimize the final value in the rebound after the state network training.
PSO-algorithm-
- 改进的 遗传算法 及其测试函数-Improved Genetic Algorithm and Its test function
EA-and-PSO
- 介绍了基础的遗传算法和粒子群算法。还有他们的基本实现。适合入门的同学做一下简单实验。-Introduces the basic genetic algorithm and particle swarm algorithm. And their basic realization. Students for entry to do something simple experiment.
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
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
GA-PSO
- 遗传算法和粒子群算法以及网格搜索法优化神经网络SVM的高斯核参数和惩罚参数-Optimization of Genetic Algorithm Neural Network SVM Gaussian kernel parameters and penalty parameter
breed-PSO
- 杂交粒子群算法是借鉴遗传算法中杂交的概念，在每次迭代中，根据杂交率选取指定数量的粒子放入杂交池内，池内的粒子随机地两两杂交。-The hybrid particle swarm algorithm is based on the concept of hybridization in genetic algorithm. In each iteration, the specified number of particles are put into the hybridization pool
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
PSO-Python
- 粒子群算法，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。(The particle swarm optimization (PSO) al