Adaptation of a mosquito swarm algorithm to solve a binary knapsack problem
Joint Authors
Shaban, Ruqayah Zaydan
al-Kallak, Isra Nadhir
Source
al- Rafidain Journal of Computer Sciences and Mathematics
Issue
Vol. 12, Issue 2 (31 Dec. 2018), pp.13-24, 12 p.
Publisher
University of Mosul College of Computer Science and Mathematics
Publication Date
2018-12-31
Country of Publication
Iraq
No. of Pages
12
Main Subjects
Information Technology and Computer Science
Abstract EN
The paper tackled one of the artificial intelligence algorithms which is Mosquito swarm algorithm as a nature inspired algorithms, to solve 0-1 knapsack an optimization problem through adaptation steps of a Mosquito swarm algorithm and the inspiration coming from the behavior of Mosquitoes, in addition to propose steps (update) for Chemical sensors, Heat sensors and location of Mosquito, to find an optimal solution in small search space and small computational requirements.
A program is written in MATLAB 7.10 م language to simulate this algorithm with 0-1 knapsack problem.
The experimental results in this research showed effective approach, easy implementation of algorithm to find optimal solution.
American Psychological Association (APA)
Shaban, Ruqayah Zaydan& al-Kallak, Isra Nadhir. 2018. Adaptation of a mosquito swarm algorithm to solve a binary knapsack problem. al- Rafidain Journal of Computer Sciences and Mathematics،Vol. 12, no. 2, pp.13-24.
https://search.emarefa.net/detail/BIM-901078
Modern Language Association (MLA)
Shaban, Ruqayah Zaydan& al-Kallak, Isra Nadhir. Adaptation of a mosquito swarm algorithm to solve a binary knapsack problem. al- Rafidain Journal of Computer Sciences and Mathematics Vol. 12, no. 2 (2018), pp.13-24.
https://search.emarefa.net/detail/BIM-901078
American Medical Association (AMA)
Shaban, Ruqayah Zaydan& al-Kallak, Isra Nadhir. Adaptation of a mosquito swarm algorithm to solve a binary knapsack problem. al- Rafidain Journal of Computer Sciences and Mathematics. 2018. Vol. 12, no. 2, pp.13-24.
https://search.emarefa.net/detail/BIM-901078
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 24
Record ID
BIM-901078