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Swarm Intelligence-Based Optimization for PHEV Charging Stations

In this chapter, Gravitational Search Algorithm (GSA) and Particle Swarm Optimization (PSO) technique were applied for intelligent allocation of energy to the Plug-in Hybrid Electric Vehicles (PHEVs). Considering constraints such as energy price, remaining battery capacity, and remaining charging ti...

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Bibliographic Details
Main Authors: Rahman, Imran, Vasant, Pandian, Mahinder Singh, Balbir Singh, Abdullah-Al-Wadud, M.
Format: Book Section
Published: IGI Global 2015
Subjects:
QA75 Electronic computers. Computer science
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://eprints.utp.edu.my/11901/1/Swarm-Intelligence-Based-Optimization-for-PHEV-Charging-Stations.pdf
http://www.igi-global.com/book/handbook-research-swarm-intelligence-engineering/121216
http://eprints.utp.edu.my/11901/
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http://eprints.utp.edu.my/11901/1/Swarm-Intelligence-Based-Optimization-for-PHEV-Charging-Stations.pdf
http://www.igi-global.com/book/handbook-research-swarm-intelligence-engineering/121216
http://eprints.utp.edu.my/11901/

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