DocumentCode :
1683191
Title :
Maintenance scheduling in power systems using genetic algorithms
Author :
Negnevitsky, M. ; Kelareva, G.
Author_Institution :
Tasmania Univ., Hobart, Tas., Australia
fYear :
1999
Firstpage :
187
Abstract :
Maintenance scheduling problems are usually solved using a combination of search techniques and heuristics. This paper describes an application of genetic algorithms as an alternative approach to schedule optimisation. An appropriate chromosome representation is suggested to accommodate badly formalised constraints, an evaluation function adjustment is offered to satisfy optimum criteria.
Keywords :
genetic algorithms; maintenance engineering; power systems; scheduling; badly formalised constraints; chromosome representation; evaluation function adjustment; genetic algorithms; maintenance scheduling; optimum criteria; power systems; schedule optimisation; Biological cells; Genetic algorithms; Genetic mutations; Humans; Optimal scheduling; Power system security; Power systems; Preventive maintenance; Safety;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electric Power Engineering, 1999. PowerTech Budapest 99. International Conference on
Conference_Location :
Budapest, Hungary
Print_ISBN :
0-7803-5836-8
Type :
conf
DOI :
10.1109/PTC.1999.826619
Filename :
826619
Link To Document :
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