采用基于工序编码的交叉算子，对传统车间调度问题使用遗传算法求解。并采用基准的实例进行验证，例如FT6 或者MT6等。注释比较全面，代码可读性好。

此工具箱是英国设菲尔德（Sheffield）大学编写的MATLAB遗传算法工具箱，是使用的最广泛的遗传工具箱之一。在《MATLAB 遗传算法工具箱及应用》作　者：雷英杰 出版社：西安电子科技大学出版社 这本书中重点介绍了此工具箱。

有关遗传编程引用的最多的资料，很基础。对遗传编程进行了详细的介绍。

有关遗传编程的程序代码。程序结构采用树编码。

matlab源程序代码\遗传算法工具箱\genetic\bs2rv.m\遗传算法工具箱\genetic\bs2rv.m\遗传算法工具箱\genetic\bs2rv.m

（matlab源程序代码）遗传算法工具箱\genetic\crtbase.m遗传算法工具箱\genetic\crtbase.m

（matlab源程序代码）遗传算法工具箱\genetic\crtbp.m遗传算法工具箱\genetic\crtbp.m

MATLAB Genetic Algorithm Toolbox的介绍 Genetic algorithms (GAs) are stochastic global search and optimization methods that mimic the metaphor of natural biological evolution [1]. GAs operate on a population of potential solutions applying the principle of survival of the fittest to produce successively better approximations to a solution. At each generation of a GA, a new set of approximations is created by the process of selecting individuals according to their level of fitness in the problem domain and reproducing them using operators borrowed from natural genetics. This