DocumentCode
2048949
Title
Application of genetic algorithms for maintenance scheduling in power systems
Author
Negnevitsky, Michael ; Kelareva, Galina
Author_Institution
Sch. of Electr. Eng. & Comput. Sci., Tasmania Univ., Hobart, Tas., Australia
Volume
2
fYear
1999
fDate
1999
Firstpage
447
Abstract
Genetic algorithms became popular as a powerful optimisation tool, relevant for a variety of problems. The paper describes an application of traditional genetic algorithms to maintenance scheduling in power systems. A representation, integrating any constraints, suitable for a variety of problems, is designed and appropriate chromosome evaluation is suggested. Two example problems are discussed
Keywords
genetic algorithms; maintenance engineering; power engineering computing; power system planning; scheduling; chromosome evaluation; genetic algorithms; maintenance scheduling; optimisation tool; power systems; Application software; Biological cells; Genetic algorithms; Genetic engineering; Maintenance; Optimal scheduling; Power engineering and energy; Power systems; Processor scheduling; Scheduling algorithm;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Information Processing, 1999. Proceedings. ICONIP '99. 6th International Conference on
Conference_Location
Perth, WA
Print_ISBN
0-7803-5871-6
Type
conf
DOI
10.1109/ICONIP.1999.845636
Filename
845636
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