The effective maintenance scheduling of power system\ud generators is very important to a power utility for the\ud economical and reliable operation of a power system.\ud Many mathematical methods have been implemented for\ud generator maintenance scheduling (GMS). However,\ud these methods have many limitations and require many\ud approximations. Here a Genetic Algorithm is proposed\ud for GMS problems in order to overcome some of the\ud limitations of the conventional methods.\ud This paper formulates a general GMS problem using a\ud reliability criterion as an integer programming problem,\ud and demonstrates the use of GAs with three different\ud problem encodings: binary, binary for integer and\ud integer. The GA performances for each of these\ud representations are analysed and compared for a test\ud problem based on a practical power system scenario. The\ud effects of different GA parameters are also studied. The\ud results show that the integer GA is a very effective\ud method for GMS problems
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