Abstract
This paper presents GRASP (Greedy Randomized Adaptive Search Procedure), Simulated Annealing (SAA), Genetic (GA), and Hybrid Genetic (HGA) Algorithms for the economic dispatch problem (EDP), considering non-convex cost functions and dead zones the only restrictions, showing the results obtained. We also present parameter settings that are specifically applicable to the EDP, and a comparative table of results for each heuristic. It is shown that these methods outperform the classical methods without the need to assume convexity of the target function. (author)
Flores, Benjamin Carpio , E-mail: benjamin.carpo@cfe.gob.mx;
[1]
Laureano Cruces, A L;
Lopez Bracho, R;
Ramirez Rodriguez, J. , Emails: clc@correo.azc.uam.mx, rlb@correo.azc.uam.mx, jararo@correo.azc.uam.mx
[2]
- Centro Nacional de Controle de Energia (CENACE), Mexico, D.F. (Mexico). Dept. de Planificacion Economica de Largo Plazo
- Universidad Autonoma Metropolitana (UAM), Mexico, D.F. (Brazil). Dept. de Sistemas
Citation Formats
Flores, Benjamin Carpio , E-mail: benjamin.carpo@cfe.gob.mx, Laureano Cruces, A L, Lopez Bracho, R, and Ramirez Rodriguez, J. , Emails: clc@correo.azc.uam.mx, rlb@correo.azc.uam.mx, jararo@correo.azc.uam.mx.
Heuristics for the economic dispatch problem.
Brazil: N. p.,
2009.
Web.
Flores, Benjamin Carpio , E-mail: benjamin.carpo@cfe.gob.mx, Laureano Cruces, A L, Lopez Bracho, R, & Ramirez Rodriguez, J. , Emails: clc@correo.azc.uam.mx, rlb@correo.azc.uam.mx, jararo@correo.azc.uam.mx.
Heuristics for the economic dispatch problem.
Brazil.
Flores, Benjamin Carpio , E-mail: benjamin.carpo@cfe.gob.mx, Laureano Cruces, A L, Lopez Bracho, R, and Ramirez Rodriguez, J. , Emails: clc@correo.azc.uam.mx, rlb@correo.azc.uam.mx, jararo@correo.azc.uam.mx.
2009.
"Heuristics for the economic dispatch problem."
Brazil.
@misc{etde_21472360,
title = {Heuristics for the economic dispatch problem}
author = {Flores, Benjamin Carpio , E-mail: benjamin.carpo@cfe.gob.mx, Laureano Cruces, A L, Lopez Bracho, R, and Ramirez Rodriguez, J. , Emails: clc@correo.azc.uam.mx, rlb@correo.azc.uam.mx, jararo@correo.azc.uam.mx}
abstractNote = {This paper presents GRASP (Greedy Randomized Adaptive Search Procedure), Simulated Annealing (SAA), Genetic (GA), and Hybrid Genetic (HGA) Algorithms for the economic dispatch problem (EDP), considering non-convex cost functions and dead zones the only restrictions, showing the results obtained. We also present parameter settings that are specifically applicable to the EDP, and a comparative table of results for each heuristic. It is shown that these methods outperform the classical methods without the need to assume convexity of the target function. (author)}
place = {Brazil}
year = {2009}
month = {Jul}
}
title = {Heuristics for the economic dispatch problem}
author = {Flores, Benjamin Carpio , E-mail: benjamin.carpo@cfe.gob.mx, Laureano Cruces, A L, Lopez Bracho, R, and Ramirez Rodriguez, J. , Emails: clc@correo.azc.uam.mx, rlb@correo.azc.uam.mx, jararo@correo.azc.uam.mx}
abstractNote = {This paper presents GRASP (Greedy Randomized Adaptive Search Procedure), Simulated Annealing (SAA), Genetic (GA), and Hybrid Genetic (HGA) Algorithms for the economic dispatch problem (EDP), considering non-convex cost functions and dead zones the only restrictions, showing the results obtained. We also present parameter settings that are specifically applicable to the EDP, and a comparative table of results for each heuristic. It is shown that these methods outperform the classical methods without the need to assume convexity of the target function. (author)}
place = {Brazil}
year = {2009}
month = {Jul}
}