搜索资源列表
多变量寻优
- 多变量寻优的源码,包括基本算法如下:DFP法(又称变尺度法),BFS法、一阶梯度法,共扼梯度法。-multivariate optimization of the source code, including basic algorithm is as follows : DFP Act (also known as the variable scale), BFS, a ladder degrees, a total of the a
chapter4
- 神经网络遗传算法函数极值寻优——非线性函数极值寻优(Neural network, genetic algorithm, function extreme value optimization nonlinear function extremum seeking)
模拟退火算法计算函数最小值以及SVM参数寻优
- 利用模拟退火算法求解已知函数的最小值,即模拟退火算法寻优问题,可以广泛推广。(Using simulated annealing algorithm to solve the minimum of the known function, that is, the simulated annealing algorithm optimization problem, can be widely promoted.)
PSO
- 粒子群算法的寻优算法-非线性函数极值寻优(Particle swarm optimization algorithm for Extremum seeking of nonlinear function)
神经网络遗传算法极值寻优
- 神经网络遗传算法,用于非线性函数的极值寻优,非常好的源码(Neural network genetic algorithm, for nonlinear function extremum seeking, very good source code)
qpso
- 参数寻优算法,基于pso进行改进的避免陷入局部最小值等的优化算法(Parameter optimization algorithm is improved based on PSO)
chapter13粒子群优化算法的寻优算法
- 先大自然学习的一种算法,源于对鸟类捕食的研究,可以优化算法(An algorithm for first nature learning, derived from the study of bird predator, which can be optimized.)
遗传算法示例
- 基于遗传算法的多元函数寻优算法的matlab代码实现。(Multiple function optimization algorithm based on genetic algorithm)
案例26 粒子群算法的寻优算法-非线性函数极值寻优
- 粒子群算法的寻优算法-非线性函数极值寻优(Optimization algorithm for 26 particle swarm optimization - nonlinear function extremum optimization)
基于遗传算法和非线性规划的函数寻优算法
- 用遗传算法进行线性函数以及非线性函数的寻优(The program of solving TSP problem by genetic algorithm)
chapter2
- 基于遗传算法和非线性规划的函数寻优算法;(Function Optimization algorithm based on genetic algorithm and nonlinear programming)
粒子群优化算法的寻优算法——非线性函数极值寻优
- 粒子群优化算法的寻优算法——非线性函数极值寻优(Particle swarm optimization algorithm -- nonlinear function extremum seeking optimization)
模拟退火算法及其在求解TSP中的应用
- 模拟退火算法(Simulated Annealing,SA)最早的思想是由N. Metropolis [1] 等人于1953年提出。1983 年,S. Kirkpatrick 等成功地将退火思想引入到组合优化领域。它是基于Monte-Carlo迭代求解策略的一种随机寻优算法,其出发点是基于物理中固体物质的退火过程与一般组合优化问题之间的相似性。(The earliest idea of Simulated Annealing (SA)
神经网络遗传算法函数极值寻优-非线性函数极值
- 神经网络遗传算法函数极值寻优-非线性函数极值(Neural network genetic algorithm function extremum optimization - nonlinear function extremum)
algorithm-for-nonlinear-programming
- 用于非线性规划的函数寻优算法。已经调试OK(Function optimization algorithm for nonlinear programming)
PSO单时段机组寻优
- 采用粒子群算法对单时段的机组组合进行寻优。(Particle swarm optimization (PSO) is used to optimize unit commitment in a single period of time.)
yiqunsuanfa
- 蚁群算法的一个函数寻优案例 带约束条件 可运行出来(A function optimization case of ant colony algorithm with constraints can be run out)
Dstar动态路径规划算法
- 用于动态路径寻优的D*算法,可以运行出完整的路径,具有一定的参考价值(D* algorithm for dynamic path optimization, can run)
粒子群算法的寻优算法
- 一个关于粒子群算法的非线性函数极值寻优代码(A Nonlinear Function Extremum Code for Particle Swarm Optimization)
混沌粒子群寻优算法和各种常见的混沌吸引子程序
- 混沌粒子群寻优算法和各种常见的混沌吸引子程序,适合新手学习。。。。。。(Chaotic particle swarm optimization algorithm and the chaotic attractor of various common procedures, suitable for novice to learn...)