A Hybrid Algorithm for Solving the Economic Dispatch Problem

被引：1
|
作者：
Barros, Raul Silva [1 ]
Carmona Cortes, Omar Andres [1 ]
Lopes, Rafael Fernandes [1 ]
da Silva, Josenildo Costa [1 ]
机构：
[1] Inst Fed Educ Ciencia & Tecnol Maranhao, Dept Informat, Sao Luis, MA, Brazil
来源：
2013 1ST BRICS COUNTRIES CONGRESS ON COMPUTATIONAL INTELLIGENCE AND 11TH BRAZILIAN CONGRESS ON COMPUTATIONAL INTELLIGENCE (BRICS-CCI & CBIC) | 2013年
关键词：
hybrid algorithm; PSO; genetic algorithms; economic dispatch;
D O I：
10.1109/BRICS-CCI-CBIC.2013.108
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The purpose of this work is to apply a hybrid algorithm based on Particle Swarm Optimization (PSO) and Genetic Algorithms (GA) for solving the problem of Economic Dispatch, which is based on supplying an energy demand, subjected to some restriction and reach out the best possible cost. Basically, we use the mutation operator from GAs aiming to explore regions in the search space that cannot be reached out by the canonical version of PSO. The new algorithm shows good results when applied to solve the cases based on 3, 13 and 20 generators, respectively. Our results are compared against the canonical PSO and other ones available in the literature.
引用
收藏
页码：617 / 621
页数：5
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