@article{scholars7147,
         journal = {Intelligent Decision Technologies},
       publisher = {IOS Press},
           pages = {149--163},
            year = {2016},
           title = {Novel metaheuristic optimization strategies for plug-in hybrid electric vehicles: A holistic review},
          number = {2},
            note = {cited By 13},
          volume = {10},
             doi = {10.3233/IDT-150245},
          author = {Rahman, I. and Vasant, P. M. and Singh, B. S. M. and Abdullah-Al-Wadud, M.},
            issn = {18724981},
        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 studies 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-inhybrid 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. {\^A}{\copyright} 2016 IOS Press and the authors. All rights reserved.},
             url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84960926286&doi=10.3233\%2fIDT-150245&partnerID=40&md5=1f1d5a129b20a9192b3993319c9f73e8},
        keywords = {Artificial intelligence; Carbon; Charging (batteries); Electric power transmission networks; Hybrid vehicles; Optimization; Plug-in electric vehicles; Smart power grids; Vehicles; Wind power, Literature reviews; Metaheuristic; PHEV; Smart grid; Swarm Intelligence, Plug-in hybrid vehicles}
}