A queen-bee evolution based on genetic algorithm for economic power dispatch

被引：0

作者：

Qin, LD ^{[1
]}

Jiang, QY ^{[1
]}

Zou, ZY ^{[1
]}

Cao, YJ ^{[1
]}

机构：

[1] Zhejiang Univ, Coll Elect Engn, Hangzhou 310027, Peoples R China

来源：

UPEC 2004: 39th International Universitities Power Engineering Conference, Vols 1-3, Conference Proceedings | 2005年

关键词：

queen-bee evolution; genetic algorithm; economic power dispatch;

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：

The economic power dispatch problem is formulated as a non-linear constrained complex optimization problem. Conventional optimization methods that make use of derivatives and gradients, in general, are not able to locate or identify the global optimum. In this paper, a novel evolution method ermed queen-bee evolution is employed for solving the optimization problem of economic power dispatch. The queen-bee evolution is similar to nature in that the queen-bee plays'a major role in reproduction process. Two typical systems of 6 generators and 13 generators respectively are used to test the performance of the queen-bee algorithm, the numerical results demonstrate that the proposed algorithm is faster and more robust than the conventional genetic algorithm.

引用

页码：453 / 456

页数：4