1. American International University-Bangladesh
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dc.contributor.authorOchi, Arman Riaz-
dc.contributor.authorMannan, Mohammad Abdul-
dc.contributor.authorGhosh, Bashudeb Chandra-
dc.date.accessioned2024-01-16T10:40:34Z-
dc.date.available2024-01-16T10:40:34Z-
dc.date.issued2015-
dc.identifier.citationArman Riaz Ochi, Mohammad Abdul Mannan, Bashudeb Chandra Ghosh, “Optimal Allocation of FACTS Devices Using Quantum Inspired Evolutionary Programming”, Trends in Electrical Engineering (STM Journals), Vol. 5, Issue 1, pp. 23-27, 2015.en_US
dc.identifier.issn2321-4260-
dc.identifier.urihttp://dspace.aiub.edu:8080/jspui/handle/123456789/2053-
dc.description.abstractQuantum Inspired Evolutionary Programming (QIEP) is an optimization technique that combines the benefits of quantum computing and evolutionary algorithms together. In this paper this technique is used to find optimal allocation of Flexible AC Transmission System (FACTS) devices. The results are compared with the results found from genetic algorithms (GAs). Based on the results it can be concluded that QIEP technique is better than GAs.en_US
dc.language.isoenen_US
dc.publisherSTM Journals, an imprint of CELNET (Consortium e-Learning Network Pvt. Ltd.)en_US
dc.subjectQIEPen_US
dc.subjectquantum computingen_US
dc.subjectevolutionary algorithmsen_US
dc.subjectFACTS devicesen_US
dc.subjectoptimizationen_US
dc.titleOptimal Allocation of FACTS Devices Using Quantum Inspired Evolutionary Programmingen_US
dc.typeArticleen_US
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