Identificador persistente para citar o vincular este elemento:
http://hdl.handle.net/10553/47218
| Título: | Optimal scheduling of power generation by evolutionary algorithms | Autores/as: | Winter, G. Cruz, M. Galvan, B. Greiner, D. |
Clasificación UNESCO: | 1206 Análisis numérico 120601 Construcción de algoritmos |
Palabras clave: | Economic dispatch Evolutionary computing Expert systems Genetic algorithms Scheduling, et al. |
Fecha de publicación: | 2000 | Conferencia: | European Congress on Computational Methods in Applied Sciences and Engineering, ECCOMAS 2000 | Resumen: | The unit commitment (UC) and Economic Dispatch (ED) are important part of the set of actions included in the concept of Power Systems Operation. In this paper we describe the application of Genetic Algoritms (GAs) to UC and ED problems using both binary and real coding, with increased efficiency because the use of Convergence Accelerators derived from Variance Reduction Techniques widely used in Monte Carlo Method, and parameter guide using an Expert System Core embedded in the GA code. | URI: | http://hdl.handle.net/10553/47218 | ISBN: | 978-84-89925-70-0 8489925704 |
Fuente: | European Congress on Computational Methods in Applied Sciences and Engineering, ECCOMAS 2000 |
| Colección: | Actas de congresos |
Los elementos en ULPGC accedaCRIS están protegidos por derechos de autor con todos los derechos reservados, a menos que se indique lo contrario.