A review on economic emission dispatch problems using quantum computational intelligence
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...
محفوظ في:
| المؤلفون الرئيسيون: | , , , |
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| التنسيق: | Conference or Workshop Item |
| منشور في: |
American Institute of Physics Inc.
2016
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| الوصول للمادة أونلاين: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85006048070&doi=10.1063%2f1.4968051&partnerID=40&md5=29888a95c984541d390292d1e1835e46 http://eprints.utp.edu.my/30600/ |
| الوسوم: |
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| الملخص: | 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). |
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