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- W3041159093 abstract "The discrimination for overcurrent relays has been considered as an optimization problem with complex constraints. Various meta-heuristic algorithms are presented to response with this drawback for over past few decades. This paper presented a study which compare two different meta-heuristic optimization approaches inspired by bio-nature. The approaches are tested to resolve the drawbacks of the overcurrent relays discrimination problem. With regards to this goal, two new optimization approaches called Ant Lion Optimizer and Grey Wolf Optimizer have been considered. The performances of these algorithms have been implemented on two different sizes of IEEE networks. The same initial condition and constraints’ boundaries have been executing for each algorithm for fair comparison purposes. The generated results with optimal value is then identified as the best method to resolve the coordination of the overcurrent relays problem." @default.
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- W3041159093 date "2020-01-01" @default.
- W3041159093 modified "2023-09-24" @default.
- W3041159093 title "Metaheuristic Optimization Approaches for Overcurrent Relays Discrimination: A Comparative Study" @default.
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- W3041159093 doi "https://doi.org/10.1007/978-981-15-6025-5_14" @default.
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