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: | , , , , , |
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| 格式: | Article |
| 出版: |
Institute of Electrical and Electronics Engineers Inc.
2017
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| 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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