pcmeassyencode

留一法的matlab源代码，很不错的东西(Leave-one of the matlab source code, it is a good thing)

说明：  基本遗传算法的matlab源程序，bstr2rval.m为基本编码转为实际值子函数，createPop.m创建初始种群子函数，crossOper.m基因交叉子函数，indiEval.m个体实际值子函数，mutateOper.m基因变异子函数，selectOper.m选择算子子函数，sga.m基本遗传算法子函数(The basic genetic algorithm matlab source, bstr2rval.m as the basic coding to the actual value of Functions, createPop.m create initial population Functions, crossOper.m gene cross-Functions, indiEval.m individual actual value Functions, mutateOper. m gene mutation Functions, selectOper.m selection operator Functions, sga.m basic genetic algorithm Functions)

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二维路径规划，蚁群算法实现，程序注释清楚详细，运行顺畅(Two-dimensional path planning, ant colony algorithm, clear and detailed program notes, running smoothly)

利用yamlip+gurobi求解各个火电机组最优出力的问题(Use yamlip+ gurou to determine the optimal output of each thermal power unit)

这是我们上课用的matlab资料很好的，老师给的(This is our class matlab good teacher to)

非线性光学晶体LBO的1064nm倍频角度计算(Calculation of 1064nm frequency- doubling angle for nonlinear optical crystal)

The Gauss-Seidel technique is intuitive and easy to use on large or small problems. However, you should beware that the convergence tolerance must be carefully selected. Because the convergence criterion is based on the error between iterations, the same convergence criteria may lead to very different results. The direct solution technique presented in Section 2.6.2 is generally preferred over an iterative technique like Gauss-Seidel iteration if a tool such as MATLAB that provides a computationally efficient means of solving sparse matrices is available.

MATLAB GUI设计学习手记（第二版）源程序第10章串口通信助手编译文件(Source of the MATLAB GUI Design Study Notes (second edition) Chapter 10 serial communication assistant compiled file)

Linear Antenna arrays provide alternative solution to dimensional structure of Antennas such as paraboloidal cylinders, paraboloids, offset focus paraboloids etc. This paper presents the survey of various evolutionary approaches for linear array optimization like genetic algorithm, Particle swarm optimization, Simulated Annealing, Bacteria Foraging and Biogeography Based Optimization. From the survey It was observed that biogeography based optimization is better for antenna geometries.