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- W2300960031 endingPage "163" @default.
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- W2300960031 abstract "Hybrid Vehicles have experienced major modifications since the last decade. Smart grid success with combination of renewable energy exclusively depends upon the large-scale penetration of Plug-in Hybrid Electric Vehicles (PHEVs) for a sustainable and carbon-free transportation. Recent technical stu dies regarding various optimization strategies related to PHEV integrated smart grid; such as control and battery charging, vehicle-to-grid (V2G), unit commitment, charging infrastructures, integration of solar and wind energy and demand management prove that electrification of transportation as a rapidly growing field of research. This work presents a holistic review of all substantial research applying metaheuritics optimization for plug-in-hybrid electric vehicles. A summary on future perspective of metaheuristic algorithms is also provided, covering Cuckoo Search (CS), Harmony Search (HS), Artificial Bee Colony (ABC), etc. with a comprehensive reviews on previously applied methods and their performance for solving different real-world problems in the domain of PHEVs. Moreover, significant shifts towards hybrid and hyper metaheuristics are also highlighted." @default.
- W2300960031 created "2016-06-24" @default.
- W2300960031 creator A5009252576 @default.
- W2300960031 creator A5046260621 @default.
- W2300960031 creator A5083516847 @default.
- W2300960031 creator A5089550455 @default.
- W2300960031 date "2016-03-01" @default.
- W2300960031 modified "2023-09-25" @default.
- W2300960031 title "Novel metaheuristic optimization strategies for plug-in hybrid electric vehicles: A holistic review" @default.
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- W2300960031 doi "https://doi.org/10.3233/idt-150245" @default.
- W2300960031 hasPublicationYear "2016" @default.
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