Use of a multi-objective teaching-learning algorithm for reduction of power losses in a power test system

This paper presents a multi-objective teaching learning algorithm based on decomposition for solving the optimal reactive power dispatch problem (ORPD). The effectiveness and performance of the proposed algorithm are compared with respect to a multi-objective evolutionary algorithm based on decompos...

Full description

Autores:
Medina, Miguel A
Ramirez, Juan M
Coello, Carlos A
Das, Swagatam
Tipo de recurso:
Article of journal
Fecha de publicación:
2014
Institución:
Universidad Nacional de Colombia
Repositorio:
Universidad Nacional de Colombia
Idioma:
spa
OAI Identifier:
oai:repositorio.unal.edu.co:unal/72529
Acceso en línea:
https://repositorio.unal.edu.co/handle/unal/72529
http://bdigital.unal.edu.co/37002/
Palabra clave:
Multi-objective evolutionary algorithm based on decomposition (MOEA/D)
Multi-objective Teaching-learning algorithm
Optimal reactive power dispatch.
Rights
openAccess
License
Atribución-NoComercial 4.0 Internacional