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Solving multi-objective optimization problem using evolutionary algorithm has attracted much attentions and the great progresses have been made in the past decades. The whole history of the research on multi-objective evolutionary algorithm (MOEA) is divided into three periods. After the features of the researches of MOEA and the research achievements are briefly reviewed, the new progresses of MOEA...
The goal of optimal generator maintenance scheduling is to evolve optimal preventive maintenance schedule of generating units for economical and reliable operation of a power system while satisfying system load demand and crew constraints. In this paper, the differential evolution (DE), an evolutionary computation algorithm that utilizes the differential information to guide its further search, is...
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