lms

说明：  用基本遗传算法求解一维无约束优化问题 用顺序选择遗传算法求解一维无约束优化问题 用动态线性标定适应值的遗传算法求解一维无约束优化问题 用大变异遗传算法求解一维无约束优化问题 用自适应遗传算法求解一维无约束优化问题 用双切点遗传优化求解一维无约束优化问题 用多变异位自适应遗传优化求解一维无约束优化问题 (The basic genetic algorithm with one-dimensional sequence of unconstrained optimization problems using genetic algorithm selected one-dimensional non-linear constrained optimization problem of dynamic calibration of genetic algorithm to adapt to the value of one-dimensional unconstrained optimization genetic algorithm with a large variation of one-dimensional unconstrained adaptive genetic algorithm for optimization problem solving unconstrained optimization problems one-dimensional cut by two-dimensional point of GA for solving a problem of unconstrained optimization adaptive genetic optimization with variable ectopic solving one-dimensional unconstrained optimization problem)

说明：  时滞依赖不确定系统的保性能控制，发表于IEE控制理论(Uncertain systems with delay-dependent guaranteed cost control, published in the IEE Control Theory)

这是一篇数字图像增强的课程设计，大家有需要的可以参考一下(This is a digital image enhancement of the curriculum, we need to refer to)

这是自适应PSO的函数优化完整程序，可移植性好 可用于多种智能计算中(This is a complete program, adaptive PSO function optimization and portability can be used for a variety of intelligent computing)

face detection and face recognition program and face tracking do and enjoy u r luck

centralize algorithm in matlab

说明：  做生成数(使用0.1做因子),之后13年的数据按统计方法标准化后输入,训练,仿真,对比结果。这个过程相当于插值计算(Generated to do a few (make use of 0.1 factor), after 13 years of data input after the standardization of statistical methods, training, simulation, comparing the results. This process is equivalent to interpolation calculation)

3元简单函数优化的遗传算法程序,利用遗传算法求三元函数的最优值，包括主程序、初始化、交叉、变异、选择等子程序，方便自己修改，并且包含图像分析。(A simple function of the genetic algorithm optimization procedures, the optimal value of ternary functions using genetic algorithms, including the subroutine of the main program, initialization, crossover and mutation, selection, convenient modify, and includes image analysis.)

绘制定位结果，可以分多个图形，自己配置，灵活性好。(Draw positioning results, can be divided into multiple graphs, their allocation, good flexibility.)

Numerical Methods Newton-Raphson