搜索资源列表
quantizer1
- 小数量化程序,中间的位数是可以调节的,这个所给的是32位的实数浮点数据转变为二进制数-the procedure of quantification for decimals
nsga2
- 这是一个遗传算法实现多目标优化。对多目标优化,non-domonated整理已用。设计变量可以是二进制,整数,实数的或枚举数据类型。 -This is a GA implementation for multi-objective optimization. For multi-objective optimization, non-domonated sorting has been used. The design variables can be Binary, Integer,
ga_pid
- 遗传算法优化PID控制,分别采用实数编码和二进制编码-Genetic algorithm to optimize PID control, real-coded and binary coded
Realcoded
- 二进制编码和实数编码的遗传算法,代码非常详尽,略有难度。-Binary coding and real-coded genetic algorithm, very detailed.
nsga2_1
- NSGA2解决随机约束问题的自编程序,可以同时实现实数的编码问题和二进制编码问题,采用快速的非支配排序实现全局快速搜索。-NSGA2 random constraint solving problems by ourselves, can simultaneously encode binary encoding issues and problems of real numbers, with fast non-dominated sorting achieve global fast sea
Genetic-Algorithm2
- 实数编码和二进制编码的遗传算法程序,程序结构清晰,易懂,是学习遗传算法很好的例子。-Real number coding and binary coded genetic algorithm program, the program structure is clear, and easy to understand, is to study the genetic algorithm is a good example.