TY  - JOUR
ID  - scholars7147
KW  - Artificial intelligence; Carbon; Charging (batteries); Electric power transmission networks; Hybrid vehicles; Optimization; Plug-in electric vehicles; Smart power grids; Vehicles; Wind power
KW  -  Literature reviews; Metaheuristic; PHEV; Smart grid; Swarm Intelligence
KW  -  Plug-in hybrid vehicles
N2  - 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. © 2016 IOS Press and the authors. All rights reserved.
IS  - 2
Y1  - 2016///
VL  - 10
JF  - Intelligent Decision Technologies
A1  - Rahman, I.
A1  - Vasant, P.M.
A1  - Singh, B.S.M.
A1  - Abdullah-Al-Wadud, M.
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-84960926286&doi=10.3233%2fIDT-150245&partnerID=40&md5=1f1d5a129b20a9192b3993319c9f73e8
AV  - none
TI  - Novel metaheuristic optimization strategies for plug-in hybrid electric vehicles: A holistic review
SP  - 149
N1  - cited By 13
PB  - IOS Press
SN  - 18724981
EP  - 163
ER  -