An Improved Genetic Algorithm of Unit Optimization Problem

被引：0
|
作者：
Ruikun-Gong [1 ]
Xinze-Wang [1 ]
Fuqiang-Lu [1 ]
机构：
[1] HeBei United Univ, Coll Elect Engn, Tang Shan, Peoples R China
来源：
PROCEEDINGS OF 2012 2ND INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE AND NETWORK TECHNOLOGY (ICCSNT 2012) | 2012年
关键词：
optimization-based unit commitment; genetic algorithm; ALOPEX; RENEWABLE ENERGY; HYBRID SYSTEM;
D O I：
暂无
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
Unit combination problem is very complicated. There are a lot of variable number and constraint condition. It is a high dimension, non-convex, discrete and nonlinear optimization problem. It is difficult to find the optimal solution in theory. This paper puts forward the improved genetic algorithm, that is combine the ALOPEX algorithm and genetic algorithm to solve the complex unit commitment problem.
引用
收藏
页码：838 / 841
页数：4
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