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单变量寻优
- 单变量寻优基本算法的原码，包括区间取半法，0。618法、FIB法，牛顿法、二次逼近法、三次逼近法。-single - variable optimization algorithm of the original code, including the semi-admission interval, 0. 618, FIB, Newton, quadratic approximation, three approximation.
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
遗传算法－最优函数值
- 此遗传算法功能强大，界面操作，能很方便的设置遗传算法的各个参数。运行过程中，图形显示寻优过程。以及列表显示运行的详细结果。-this powerful genetic algorithms, interface operation, can very easily be set genetic algorithm parameters. Process, graphics optimization process. Operation
单变量寻优
- 单变量寻优基本算法的原码，包括区间取半法，0。618法、FIB法，牛顿法、二次逼近法、三次逼近法。-single- variable optimization algorithm of the original code, including the semi-admission interval, 0. 618, FIB, Newton, quadratic approximation, three approximation.
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
粒子群算法-非线性函数极值寻优
- 根据粒子群算法原理，在MATLAB上完成非线性函数的极值寻优。(According to the principle of particle swarm optimization algorithm, the extremum of nonlinear function is optimized on MATLAB.)
chapter2基于遗传算法和非线性规划的函数寻优算法
- chapter2基于遗传算法和非线性规划的函数寻优算法(A Function Optimization Algorithm Based on Genetic Algorithm and Nonlinear Programming)
chapter8基于量子遗传算法的函数寻优算法
- 本文件为基于量子遗传算法的MATLAB软件去寻优(This paper is based on the MATLAB software to seek optimization based on the quantum genetic algorithm)
基于神经网络遗传算法的系统极值寻优
- 基于神经网络遗传算法的系统极值寻优 初始化遗传算法参数(Optimization of system extremum based on neural network genetic algorithm)
单目标粒子群算法寻优
- 利用粒子群优化算法，对单目标函数寻优，寻找函数的极值。(Searching for the extremum of a function by searching the single objective function.)
chapter2基于遗传算法和非线性规划的函数寻优算法
- 这是算法30案例的第二张源码，基于遗传算法和非线性规划的函数寻优算法(A function optimization algorithm based on genetic algorithm and nonlinear programming)
遗传算法跟踪寻优
- 运用遗传算法原理进行跟踪寻优，有一定的实例辅助，经验证，可用(The use of genetic algorithm for tracking optimization, there are certain examples of assisted, proven, available)
粒子群算法的寻优算法
- 粒子群寻优算法，通过粒子群算法寻找最优解的问题(Particle swarm optimization (PSO) algorithm and the problem of finding the optimal solution by particle swarm optimization)
基于动态粒子群算法的动态环境寻优算法
- 动态粒子群寻优算法，且通过matlab代码来实现(Dynamic particle swarm optimization algorithm, and realized through MATLAB code)
基于量子遗传算法的函数寻优算法
- 基于量子遗传算法的函数寻优算法（含详细代码）(A function optimization algorithm based on quantum genetic algorithm)
基于鱼群算法的函数寻优算法
- 基于鱼群算法的函数寻优算法的matlab代码示例。(Function optimization algorithm based on fish swarm algorithm)
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)
chapter18 基于鱼群算法的函数寻优算法
- 在matlab中用遗传算法和非线性规划实现函数寻优(Optimization of function by genetic algorithm in MATLAB)
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.)
基于SVM参数寻优算法的GUI实现
- 关于SVM参数寻优算法的GUI界面实现代码(GUI Interface Implementation Code for the SVM Parameter Optimization Algorithm)