التفاصيل البيبلوغرافية
| العنوان: |
Two-Dimensional Quantum Genetic Algorithm: Application to Task Allocation Problem |
| المؤلفون: |
Sabyasachi Mondal, Antonios Tsourdos |
| المصدر: |
Sensors, Vol 21, Iss 4, p 1251 (2021) |
| بيانات النشر: |
MDPI AG, 2021. |
| سنة النشر: |
2021 |
| المجموعة: |
LCC:Chemical technology |
| مصطلحات موضوعية: |
Quantum Genetic Algorithm, two-dimensional quantum chromosome, task allocation, Chemical technology, TP1-1185 |
| الوصف: |
This paper presents a Two-Dimensional Quantum Genetic Algorithm (2D-QGA), which is a new variety of QGA. This variety will allow the user to take the advantages of quantum computation while solving the problems which are suitable for two-dimensional (2D) representation or can be represented in tabular form. The performance of 2D-QGA is compared to two-dimensional GA (2D-GA), which is used to solve two-dimensional problems as well. The comparison study is performed by applying both the algorithm to the task allocation problem. The performance of 2D-QGA is better than 2D-GA while comparing execution time, convergence iteration, minimum cost generated, and population size. |
| نوع الوثيقة: |
article |
| وصف الملف: |
electronic resource |
| اللغة: |
English |
| تدمد: |
1424-8220 |
| Relation: |
https://www.mdpi.com/1424-8220/21/4/1251; https://doaj.org/toc/1424-8220 |
| DOI: |
10.3390/s21041251 |
| URL الوصول: |
https://doaj.org/article/970db8e25ef24191b5dfe0d115d8592c |
| رقم الانضمام: |
edsdoj.970db8e25ef24191b5dfe0d115d8592c |
| قاعدة البيانات: |
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