搜索资源列表
SAPSO
- 介绍了粒子群模拟退火算法在函数优化中的应用
SAPSO
- 模拟退火-粒子群算法，该程序将模拟退火算法和粒子群算法相结合，对优化参数有很好的效果-Simulated annealing- particle swarm optimization, the program will be simulated annealing algorithm and particle swarm optimization by combining optimization parameters have a good effect
SAPSO
- 权重改进粒子群算法中的自适应权重法，平衡了PSO算法的全局探索能力和局部改良能力-Weight improved particle swarm algorithm in the adaptive weighting method to balance the global exploration of the PSO algorithm is improved capacity and capacity of local
mastering_matlab
- 精通MATLAB最优化计算 配套光盘 本书的主要内容是应用MATLAB来解决最优化问题，通过将“最优化问题”、“MATLAB优化工具箱”和“MATLAB编程”这三方面有机结合进行讲述，即一方面是使用工具箱来快速解决最优化问题，另一方面是通过算法编程深入解决最优化问题。主要包括MATLAB优化工具箱、无约束多维极值问题、约束优化问题、非线性最小二乘优化问题、线性规划、整数规划、二次规划、粒子群优化算法、遗传算法。 -The main contents of the book is the
SAPSO
- 自适应的粒子群基本算法 里面没有适应度函数 可以自己编写好 然后进行调用.权重改进粒子群算法中的自适应权重法，平衡了PSO算法的全局探索能力和局部改良能力.-This is the basic matlab program of SAPSO
SAPSO
- PSO的改进算法，收敛次数和稳定性都比PSO好-PSO algorithm, the number of convergence and stability than PSO good
sapso
- 模拟退火粒子群算法代码 matlab版本 供大家参考-Simulated annealing particle swarm algorithm code
SAPSO
- 用matlab编写了自适应权重粒子群算法，惯性权重随着微粒的目标函数值而自动改变，使得该微粒向较好的搜索区域靠拢-Prepared using matlab The adaptive weight PSO, inertia weight change automatically with the objective function value of the particles, so that the particles move closer to better search area
SAPSO
- 0-1背包问题是学习算法时一个非常常用的简单问题，可以用多种智能优化算法实现，这里用到了蚁群算法和模拟退火算法还有两种方法的结合三种方法来实现。-0-1 knapsack problem is a simple learning algorithm is a very common problem, and can use a variety of intelligent optimization algorithm, ant colony algorithm and simulated ann
SAPSO
- 模拟退火粒子群算法在matlab中应用，很实用，很好用-Simulated annealing particle swarm algorithm in matlab applications, very practical, very good with
SAPSO_SecPSO_SecVibratPSO
- 用MATLAB实现SAPSO、SecPSO、SecVibratPSO算法，程序没错误，可以直接运行，非常适合刚学PSO者-Implementation of SAPSO, SecPSO, SecVibratPSO algorithm with MATLAB, the program no error, can be directly run, very suitable for just learning PSO
sapso
- 为了平衡粒子群算法的全局搜索能力和改良局部能力，采用非线性的动态惯性权重即自适应权重法。给出一个用自适应权重的粒子群算法求多元复杂函数的最小值实例。-To balance the PSO global search capability and improved local capacity, the use of non-linear dynamic adaptive inertia weight that the weighting method. Gives an adaptive wei
saPSO
- 退火粒子群优化算法（SAPSO），matlab代码，仅供学习-Annealing particle swarm optimization (SAPSO), matlab code, only to learn
1SAPSO
- 简单SAPSO matlab源程序 可实现简单函数优化-Simple SAPSO matlab source code can be optimized to achieve a simple function
SAPSO
- 自己编写的模拟退火粒子群算法，里面含有测试函数，比较简单，适合初学者。-I have written simulated annealing particle swarm algorithm, which contains a test function is relatively simple, suitable for beginners.
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
SAPSO
- 本程序介绍了一种改进的粒子群寻优算法；该算法可以更好的实现粒子群寻优过程中的全局搜索与局部搜索值间的平衡。从而寻得最优结果。-This program introduces an improved particle swarm optimization algorithm This algorithm can better realize the particle swarm optimization in the process of the balance between global se
SAPSO
- 针对粒子群算法存在局部最优，易陷入局部最小值的问题，自适应权重粒子群优化算法-For particle swarm optimization, there are some problems, which are easy to fall into local minimum, and the adaptive weight particle swarm optimization algorithm is easy to fall into local minimum.
SAPSO
- 对粒子群算法的改进，利用一种名为自适应权重粒子的方法来更新粒子速度和位置，用来解决静态单目标优化问题-It is the improved particle swarm optimization algorithm. It introduced a kind method named adaptive weight to update the position and velocity of the particle. It can be used for handling single obj
SAPSO
- 针对PSO在寻优过程容易出现“早熟”现象，提出了一种基于Sobol序列的自适应变异 PSO算法（SAPSO）,SAPSO.m-In the optimization process for PSO prone to premature phenomenon, a new Adaptive Mutation PSO Sobol sequence (SAPSO), SAPSO.m