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Quantum particle swarm optimization for multiobjective combined economic emission dispatch problem using cubic criterion function

In this research, quantum particle swarm optimization (QPSO) is utilized to solve multiobjective combined economic emission dispatch (CEED) problem formulated using cubic criterion function considering a uni wise max/max price penalty factor. QPSO is implemented on a 6-unit power generation system a...

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Bibliographic Details
Main Authors: Mahdi, F.P., Vasant, P., Rahman, M.M., Abdullah-Al-Wadud, M., Watada, J., Kallimani, V.
Format: Article
Published: Institute of Electrical and Electronics Engineers Inc. 2017
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85018175475&doi=10.1109%2fICIVPR.2017.7890879&partnerID=40&md5=c5160121a35b2daaaf3ebd397bb4fd09
http://eprints.utp.edu.my/20112/
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https://www.scopus.com/inward/record.uri?eid=2-s2.0-85018175475&doi=10.1109%2fICIVPR.2017.7890879&partnerID=40&md5=c5160121a35b2daaaf3ebd397bb4fd09
http://eprints.utp.edu.my/20112/

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