REFINED GENETIC ALGORITHM - ECONOMIC-DISPATCH EXAMPLE

被引：152

作者：

SHEBLE, GB

BRITTIG, K

机构：

[1] Iowa State University, Ames

来源：

IEEE TRANSACTIONS ON POWER SYSTEMS | 1995年 / 10卷 / 01期

关键词：

POWER SYSTEMS; OPTIMIZATION; GENETIC ALGORITHMS; ECONOMIC DISPATCH; MUTATION; CROSSOVER; ELITISM; MUTATION PREDICTION; PENALTY FACTOR; STOPPING CRITERIA; AND INTERVAL APPROXIMATION;

D O I：

10.1109/59.373934

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

A genetic-based algorithm is;sed to solve an economic dispatch (ED) problem.,The algorithm utilizes payoff information of perspective Solutions to evaluate optimality. Thus, the constraints of classical LaGrangian techniques on unit curves are eliminated. Using an economic dispatch problem as a basis for comparison, several different techniques which enhance program efficiency and accuracy, such as mutation prediction, elitism, interval approximation and penalty factors, are explored. Two unique generic algorithms are also compared. The results are verified for a sample problem using a classical technique.

引用

页码：117 / 124

页数：8