relation: https://khub.utp.edu.my/scholars/7147/
title: Novel metaheuristic optimization strategies for plug-in hybrid electric vehicles: A holistic review
creator: Rahman, I.
creator: Vasant, P.M.
creator: Singh, B.S.M.
creator: Abdullah-Al-Wadud, M.
description: 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.
publisher: IOS Press
date: 2016
type: Article
type: PeerReviewed
identifier:   Rahman, I. and Vasant, P.M. and Singh, B.S.M. and Abdullah-Al-Wadud, M.  (2016) Novel metaheuristic optimization strategies for plug-in hybrid electric vehicles: A holistic review.  Intelligent Decision Technologies, 10 (2).  pp. 149-163.  ISSN 18724981     
relation: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84960926286&doi=10.3233%2fIDT-150245&partnerID=40&md5=1f1d5a129b20a9192b3993319c9f73e8
relation: 10.3233/IDT-150245
identifier: 10.3233/IDT-150245