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Genetic algorithms application to scheduling problems in power systems

Citation

Negnevitsky, M and Kelareva, GV, Genetic algorithms application to scheduling problems in power systems, Proceedings of The First Japanese-Australian Joint Seminar on Applications of Electromagnetic Phenomena in Electrical and Mechanical Systems, 16-17 March, 2001, Adelaide, Australia, pp. 123-129. ISBN 4-931455-10-7 (2001) [Refereed Conference Paper]

Item Details

Item Type:Refereed Conference Paper
Research Division:Engineering
Research Group:Control engineering, mechatronics and robotics
Research Field:Field robotics
Objective Division:Energy
Objective Group:Energy storage, distribution and supply
Objective Field:Energy systems and analysis
UTAS Author:Negnevitsky, M (Professor Michael Negnevitsky)
UTAS Author:Kelareva, GV (Mrs Galina Kelareva)
ID Code:21763
Year Published:2001
Deposited By:Engineering
Deposited On:2001-08-01
Last Modified:2002-05-29
Downloads:0

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