Quantum algorithms for solving data envelopment analysis models | ||
| International Journal of Nonlinear Analysis and Applications | ||
| مقاله 238، دوره 14، شماره 1، فروردین 2023، صفحه 3063-3070 اصل مقاله (426.77 K) | ||
| نوع مقاله: Research Paper | ||
| شناسه دیجیتال (DOI): 10.22075/ijnaa.2022.26054.3208 | ||
| نویسندگان | ||
| Najmeh Malekmohammadi* 1؛ Ali Ebrahimnejad2؛ Samira Sayedsalehi3 | ||
| 1Department of Mathematics, South Tehran Branch, Islamic Azad University, Tehran, Iran. | ||
| 2Department of Mathematics, Qaemshahr Branch, Islamic Azad University, Qaemshahr, Iran | ||
| 3Department of Computer Engineering, South Tehran Branch, Islamic Azad University, Tehran, Iran | ||
| چکیده | ||
| In traditional optimization models, classical computers have been used to solve mathematical linear or non-linear models. In addition, by data envelopment analysis (DEA) models one can evaluate the relative efficiency of the decision-making units originally in the form of mathematical non-linear models. In this paper, a new attitude is presented in which quantum computers and quantum algorithms can be used to solve DEA models by two different methods. This suggested attitude is worthy to mention as this subject is new and will attract researchers to discuss and improve it. | ||
| کلیدواژهها | ||
| Data envelopment analysis؛ Non-linear Models؛ Quantum Algorithm؛ Quantum Optimization | ||
| مراجع | ||
|
| ||
|
آمار تعداد مشاهده مقاله: 17,825 تعداد دریافت فایل اصل مقاله: 12,697 |
||
| تعداد نشریات | 22 |
| تعداد شمارهها | 724 |
| تعداد مقالات | 10,417 |
| تعداد مشاهده مقاله | 72,972,408 |
| تعداد دریافت فایل اصل مقاله | 64,618,207 |