A new Genetic Algorithm for unit commitment

被引：0

作者：

Zhao, HW ^{[1
]}

Yi, LT ^{[1
]}

Wang, BY ^{[1
]}

Cheng, G ^{[1
]}

Yang, HP ^{[1
]}

机构：

[1] Chongqing Logist Engn Univ, Dept Automat Control, Chongqing 630041, Peoples R China

来源：

1997 IEEE INTERNATIONAL CONFERENCE ON INTELLIGENT PROCESSING SYSTEMS, VOLS 1 & 2 | 1997年

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper presents a revised genetic algorithm (RGA) for unit commitment(UC), especially A model to adjust the parameters of GA automatically with the population evolution and different chromosomes is built. A new stop-rule is also given. In order to examine the proposed method, an example is employed for UC which yields several promising results.

引用

页码：606 / 610

页数：5