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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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Main Authors: Mahdi, F.P., Vasant, P., Rahman, M.M., Abdullah-Al-Wadud, M., Watada, J., Kallimani, V.
格式: Article
出版: Institute of Electrical and Electronics Engineers Inc. 2017
在線閱讀: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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spelling my.utp.eprints.201122018-04-22T14:41:19Z Quantum particle swarm optimization for multiobjective combined economic emission dispatch problem using cubic criterion function Mahdi, F.P. Vasant, P. Rahman, M.M. Abdullah-Al-Wadud, M. Watada, J. Kallimani, V. 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 and compared with Lagrangian relaxation, particle swarm optimization (PSO) and simulated annealing (SA). The obtained results verified the effectiveness and demonstrate the robustness of QPSO method. This research suggests that QPSO can be used as an effective and robust tool in other power dispatch problems. © 2017 IEEE. Institute of Electrical and Electronics Engineers Inc. 2017 Article PeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-85018175475&doi=10.1109%2fICIVPR.2017.7890879&partnerID=40&md5=c5160121a35b2daaaf3ebd397bb4fd09 Mahdi, F.P. and Vasant, P. and Rahman, M.M. and Abdullah-Al-Wadud, M. and Watada, J. and Kallimani, V. (2017) Quantum particle swarm optimization for multiobjective combined economic emission dispatch problem using cubic criterion function. 2017 IEEE International Conference on Imaging, Vision and Pattern Recognition, icIVPR 2017 . http://eprints.utp.edu.my/20112/
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Institutional Repository
url_provider http://eprints.utp.edu.my/
description 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 and compared with Lagrangian relaxation, particle swarm optimization (PSO) and simulated annealing (SA). The obtained results verified the effectiveness and demonstrate the robustness of QPSO method. This research suggests that QPSO can be used as an effective and robust tool in other power dispatch problems. © 2017 IEEE.
format Article
author Mahdi, F.P.
Vasant, P.
Rahman, M.M.
Abdullah-Al-Wadud, M.
Watada, J.
Kallimani, V.
spellingShingle Mahdi, F.P.
Vasant, P.
Rahman, M.M.
Abdullah-Al-Wadud, M.
Watada, J.
Kallimani, V.
Quantum particle swarm optimization for multiobjective combined economic emission dispatch problem using cubic criterion function
author_facet Mahdi, F.P.
Vasant, P.
Rahman, M.M.
Abdullah-Al-Wadud, M.
Watada, J.
Kallimani, V.
author_sort Mahdi, F.P.
title Quantum particle swarm optimization for multiobjective combined economic emission dispatch problem using cubic criterion function
title_short Quantum particle swarm optimization for multiobjective combined economic emission dispatch problem using cubic criterion function
title_full Quantum particle swarm optimization for multiobjective combined economic emission dispatch problem using cubic criterion function
title_fullStr Quantum particle swarm optimization for multiobjective combined economic emission dispatch problem using cubic criterion function
title_full_unstemmed Quantum particle swarm optimization for multiobjective combined economic emission dispatch problem using cubic criterion function
title_sort quantum particle swarm optimization for multiobjective combined economic emission dispatch problem using cubic criterion function
publisher Institute of Electrical and Electronics Engineers Inc.
publishDate 2017
url 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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score 13.251813

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