A Improved Artificial Fish Swarming Optimization for Economic Load Dispatch with Dynamic Constraints

被引：0
|
作者：
Prudhvi, Potuganti [1 ]
Sudarshan, Adapa [1 ]
Bezawada, Chakradhar [1 ]
机构：
[1] Natl Inst Technol, Dept Elect Engn, Warangal, Andhra Pradesh, India
来源：
PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON SOFT COMPUTING FOR PROBLEM SOLVING (SOCPROS 2011), VOL 1 | 2012年 / 130卷
关键词：
Artificial fish; Optimization; Economic load dispatch; Cost; Swarm; IAFSA (Improvised Artificial Fish Swarm Algorithm);
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：
Nature Inspired algorithms have been so far proved as some of the best problem solvers. The Artificial Fish Schooling Algorithm (AFSA) which falls under this category has been deployed to solve the classic Economic Load Dispatch problem. A modified implementation has been illustrated in this paper to enhance the precision and speed of the algorithm.
引用
收藏
页码：141 / 149
页数：9
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