eprintid: 8766
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/00/87/66
datestamp: 2023-11-09 16:20:41
lastmod: 2023-11-09 16:20:41
status_changed: 2023-11-09 16:13:28
type: conference_item
metadata_visibility: show
creators_name: Mahdi, F.P.
creators_name: Vasant, P.
creators_name: Rahman, M.M.
creators_name: Abdullah-Al-Wadud, M.
creators_name: Watada, J.
creators_name: Kallimani, V.
title: Quantum particle swarm optimization for multiobjective combined economic emission dispatch problem using cubic criterion function
ispublished: pub
keywords: Electric load dispatching; Multiobjective optimization; Pattern recognition; Simulated annealing, Combined economic emission dispatch; Combined economic emission dispatches (CEED); Cubic function; LaGrangian relaxation; Penalty factor; Power generation systems; Price penalty factor; Quantum particle swarm optimization, Particle swarm optimization (PSO)
note: cited By 17; Conference of 2017 IEEE International Conference on Imaging, Vision and Pattern Recognition, icIVPR 2017 ; Conference Date: 13 February 2017; Conference Code:127153
abstract: 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.
date: 2017
publisher: Institute of Electrical and Electronics Engineers Inc.
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85018175475&doi=10.1109%2fICIVPR.2017.7890879&partnerID=40&md5=c5160121a35b2daaaf3ebd397bb4fd09
id_number: 10.1109/ICIVPR.2017.7890879
full_text_status: none
publication: 2017 IEEE International Conference on Imaging, Vision and Pattern Recognition, icIVPR 2017
refereed: TRUE
isbn: 9781509060030
citation:   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.  In: UNSPECIFIED.