搜索资源列表
M-PSO
- 在粒子群算法的基础上进行改进的动态粒子群寻优算法，对于动态环境可以完成有效寻优，跟踪动态极值-On the basis of improved particle swarm optimization dynamic particle swarm optimization algorithm for dynamic environment optimization can be done effectively, track dynamic extremes
golds
- 黄金分割算法，能够寻找极小值。是一种简单的寻优算法。-Golden section algorithm, can look for minimum Is a simple optimization algorithm
Genetic-Algorithm-matlab
- 遗传算法 ( Genetic Algorithm , GA) 是借鉴生物界自然选择和群体进化机制形成的一种全局寻优算法 。与传统的优化算法相比 ,遗传算法具有如下优点 [1 ] :1 ) 不是从单个点 ,而是从多个点构成的群体开始搜索 2) 在搜索最优解过程中 ,只需要由目标函数值转换得来的适应值信息 ,而不需要导数等其它辅助信息 3) 搜索过程不易陷入局部最优点 。 数学建模中常用的matlab算法，遗传算法，内容详细，包括PDF版本的详细的算法实现过程；-Genetic Algorith
SFLA-(2)
- 智能算法，混合蛙跳算法，一种模拟生物属性的寻优算法-The shuffled frog leaping algorithm
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
00002
- 基于遗传算法和非线性规划的函数寻优算法案例及源代码-Function optimization algorithm based on genetic algorithm and nonlinear programming and source code
chapter2
- 基于遗传算法和非线性规划的函数寻优算法的matlab程序-Function genetic algorithm optimization algorithm and Nonlinear Programming Based
ycsf
- 遗传算法，根据遗传算法所编的程序，遗传算法是一种很好的寻优算法-Genetic algorithms, genetic algorithms compiled according to the procedures, the genetic algorithm is a good optimization algorithm
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
Genetic-Algorithm-Toolbox-v1.2
- 工作原理是通过模拟自然界中生物进化的过程，设计相应的进化算子和操作，来解决复杂的实际问题，是一种建立在自然选择和遗传学基础上的搜索寻优算法。它从一组随机产生的种群开始，这个种群由经过基因编码的一定数量的个体组成，按照适者生存和优胜劣汰的规则，通过比较每个个体适应度的大小，选择适应度较大的个体进行交叉、变异，产生的新一代更适应环境的种群参与进化。通过一代一代不断的繁衍进化，最终得到最适应环境的个体，即得到问题的最优解。-Works by simulating the process of biol
A-function-optimization-algorithm
- 一种基于遗传算法和非线性规划的函数寻优算法，一共6个案例及源代码-A method based on genetic algorithm and nonlinear programming optimization algorithm, a total of 6 cases and source code
pso
- 粒子群优化算法的寻优算法-非线性函数极值寻优-Optimization algorithm of particle swarm optimization algorithm for optimization of nonlinear function
PSOMutation
- 粒子群算法的寻优算法 -非线性函数极值寻优-Particle Swarm Optimization Algorithm - Extreme nonlinear function optimization
PSOMutation
- 该代码为基于变异粒子群算法的函数极值寻优算法-The code is based on the mutation particle swarm optimization algorithm for the function extremum optimization algorithm
chapter2-GA-MATLAB
- 《MATLAB智能算法30个案例分析》(史峰等)chapter2 基于遗传算法和非线性规划的函数寻优算法- MATLAB intelligent algorithm 30 case studies (History of the peak, etc.) chapter2 function and genetic algorithm based on nonlinear programming optimization algorithm
30-case-analysis-of-neural-network
- 主要描述BP神经网络、SVM 的数据分类预测、Elman神经网络的数据预测粒子群优化算法的寻优算法、遗传算法优化计算等书中详细介绍了每种源程序代码及编写规范。-Mainly describes the classification of data with BP neural network and SVM prediction, Elman neural network data prediction particle swarm optimization algorithm optimiza
dontailiziqun_matlab
- 基于动态粒子群算法的环境寻优算法源码及相关例程-Dynamic particle swarm optimization algorithm source environment and related routines
QGAquan
- 基于量子遗传算法的函数寻优算法，整理很全，希望帮助大家-Based on quantum genetic algorithm function optimization algorithm, sorting is very wide, we want to help
liziqun
- 粒子群寻优算法，pso，粒子群优化算法是一种进化优化技术，源于对鸟群扑食的行为，是一种基于迭代的优化工具。-Particle swarm optimization algorithm, pso, PSO is an evolutionary optimization technology, birds originated the prey' s behavior is based on an iterative optimization tools.
PSOtool---PSO-Trelea-vectorized
- 基于PSO工具箱的函数寻优算法，包括工具箱，mtlab程序的实现-PSO toolbox based on the function optimization algorithm, including the toolbox, MTLAB program to achieve