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http://dspace.aiub.edu:8080/jspui/handle/123456789/2053| Title: | Optimal Allocation of FACTS Devices Using Quantum Inspired Evolutionary Programming |
| Authors: | Ochi, Arman Riaz Mannan, Mohammad Abdul Ghosh, Bashudeb Chandra |
| Keywords: | QIEP quantum computing evolutionary algorithms FACTS devices optimization |
| Issue Date: | 2015 |
| Publisher: | STM Journals, an imprint of CELNET (Consortium e-Learning Network Pvt. Ltd.) |
| Citation: | Arman 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. |
| Abstract: | Quantum 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. |
| URI: | http://dspace.aiub.edu:8080/jspui/handle/123456789/2053 |
| ISSN: | 2321-4260 |
| Appears in Collections: | Publications From Faculty of Engineering |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 40J_Mannan_TEE_STM.pdf | 179.51 kB | Adobe PDF | View/Open |
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