The aim of generator maintenance scheduling\ud (GMS) in an electric power system is to allocate a proper\ud maintenance timetable for generators while maintaining a high\ud system reliability, reducing total production cost, extending\ud generator life time etc. In order to solve this complex problem\ud a genetic algorithm technique is proposed here. The paper\ud discusses the implementation of GAs to GMS problems with\ud two approaches: generational and steady state. The results of\ud applying these GAs to a test GMS problem based on a\ud practical power system scenario are presented and analysed.\ud The effect of different GA parameters is also studie
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