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Maintenance scheduling of generating units is very important for the reliable operation of units. This paper presents a hybrid evolutionary algorithm to tackle the Generator Maintenance Scheduling (GMS) problem. The paper assumes a reliability objective function for the GMS problem. A new local search method which is derived from Extremal Optimization (EO) and Genetic Algorithm (GA) is presented....
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