搜索资源列表
DG_PSO
- 利用PSO算法求解分布式电源的选址定容问题，并考虑了分布式电源的随机性-Randomness of the PSO algorithm DG locating and sizing issues and considered the DG
选址定容
- 经典遗传算法，简单易懂。适合初学者使用，是分布式电源的选址定容的算法(Classical genetic algorithm is simple and easy to understand. It is suitable for beginners to use. It is an algorithm for locating and sizing distributed power.)
GA
- 遗传算法，简单易懂。适合初学者使用，是分布式电源的选址定容的算法，做了相应的改进(Classical genetic algorithm is simple and easy to understand. It is suitable for beginners to use. It is an algorithm for locating and sizing distributed power.)
GAOT
- 基于改进的遗传算法，简单易懂。适合初学者使用，是分布式电源的选址定容的算法(Classical genetic algorithm is simple and easy to understand. It is suitable for beginners to use. It is an algorithm for locating and sizing distributed power.)
免疫优化算法
- 是分布式电源的选址定容的免疫优化算法算法，是最基本的遗传算法，基本实现了选址定容的功能(It is an inheritance algorithm for location and capacity of distributed power supply and the most basic genetic algorithm. It basically realizes the function of location and capacity determination.)
reconfiguration
- 是分布式电源的选址定容的改进的遗产算法算法，是最基本的遗传算法，基本实现了选址定容的功能(It is an inheritance algorithm for location and capacity of distributed power supply and the most basic genetic algorithm. It basically realizes the function of location and capacity determination.)
NSGA-II
- 电网优化，能够用于分布式电源的选址定容，也可以用于电网的网架优化计算等等(Power network optimization)