Quantum particle swarm optimization for economic dispatch problem using cubic function considering power loss constraint
In this paper, quantum computing (QC) inspired particle swarm optimization (QPSO) technique is utilized to solve economic dispatch (ED) problem, which has strong, robust and reliable search capability with powerful convergence properties. Here, authors use cubic criterion function to represent ED in...
| Main Authors: | Mahdi, F.P., Vasant, P., Abdullah-Al-Wadud, M., Watada, J., Kallimani, V., Fai, P.Y.S. |
|---|---|
| Format: | Article |
| Institution: | Universiti Teknologi Petronas |
| Record Id / ISBN-0: | utp-eprints.19780 / |
| Published: |
GEOMATE International Society
2017
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| Online Access: |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85018788638&doi=10.21660%2f2017.37.2742&partnerID=40&md5=24a38d53af5d9f91e80afb888bbf4143 http://eprints.utp.edu.my/19780/ |
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