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Application of genetic algorithms for maintenance scheduling in power systems

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2 Author(s)
Negnevitsky, M. ; Sch. of Electr. Eng. & Comput. Sci., Tasmania Univ., Hobart, Tas., Australia ; Kelareva, G.

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

Published in:

Neural Information Processing, 1999. Proceedings. ICONIP '99. 6th International Conference on  (Volume:2 )

Date of Conference: