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...
- 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