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