退火算法，运用退火算法解决函数优化等问题，运用遗传算法解决学生宿舍分配问题。-Annealing algorithms, the annealing algorithm to solve the function optimization using genetic algorithm to solve the problem of allocation of student hostels.

一个函数优化遗传算法的C语言程序,可解决一般的函数优化问题-A function to optimize the C programming language of genetic algorithm, to solve the general function optimization problem

基于神经网络与遗传算法的多目标函数优化求解程序-Multi objective function is based on neural networks and genetic algorithm optimization solver

目前的多目标优化算法有很多，Kalyanmoy Deb 的 NSGA-II（Nondominated Sorting Genetic Algorithm II，带精英策略的快速非支配排序遗传算法）无疑是其中应用最为广泛也是最为成功的一种。MATLAB 自带的 gamultiobj 函数所采用的算法，就是基于 NSGA-II 改进的一种多目标优化算法（a variant of NSGA-II）。gamultiobj 函数的出现，为在 MATLAB 平台下解决多目标优化问题提供了良好的途径。gamu

这是遗传算法多目标优化程序。虽然是基础的GA算法程序，但是注释清晰，可以修改目标函数运行，也可以在此基础上进行算法优化(This is a multi-objective optimization program of genetic algorithm. Although it is the basic GA algorithm program, but the annotation is clear, it can modify the operation of the objective