eprintid: 6597
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/00/65/97
datestamp: 2023-11-09 16:18:23
lastmod: 2023-11-09 16:18:23
status_changed: 2023-11-09 16:07:10
type: conference_item
metadata_visibility: show
creators_name: Mahdi, F.P.
creators_name: Vasant, P.
creators_name: Kallimani, V.
creators_name: Abdullah-Al-Wadud, M.
title: A review on economic emission dispatch problems using quantum computational intelligence
ispublished: pub
note: cited By 5; Conference of 4th International Conference on Fundamental and Applied Sciences, ICFAS 2016 ; Conference Date: 15 August 2016 Through 17 August 2016; Conference Code:125141
abstract: Economic emission dispatch (EED) problems are one of the most crucial problems in power systems. Growing energy demand, limitation of natural resources and global warming make this topic into the center of discussion and research. This paper reviews the use of Quantum Computational Intelligence (QCI) in solving Economic Emission Dispatch problems. QCI techniques like Quantum Genetic Algorithm (QGA) and Quantum Particle Swarm Optimization (QPSO) algorithm are discussed here. This paper will encourage the researcher to use more QCI based algorithm to get better optimal result for solving EED problems. © 2016 Author(s).
date: 2016
publisher: American Institute of Physics Inc.
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85006048070&doi=10.1063%2f1.4968051&partnerID=40&md5=29888a95c984541d390292d1e1835e46
id_number: 10.1063/1.4968051
full_text_status: none
publication: AIP Conference Proceedings
volume: 1787
refereed: TRUE
isbn: 9780735414518
issn: 0094243X
citation:   Mahdi, F.P. and Vasant, P. and Kallimani, V. and Abdullah-Al-Wadud, M.  (2016) A review on economic emission dispatch problems using quantum computational intelligence.  In: UNSPECIFIED.