Predictive analysis of dengue outbreak based on an improved salp swarm algorithm
The purpose of this study is to enhance the exploration capability of conventional Salp Swarm Algorithm (SSA) with the inducing of Levy Flight. With such modification, it will assist the SSA from trapping in local optimum. The proposed approach, which is later known as an improved SSA (iSSA) is empl...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Sciendo
2020
|
| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/30948/ http://umpir.ump.edu.my/id/eprint/30948/1/Predictive%20analysis%20of%20dengue%20outbreak%20based%20on%20an%20improved%20salp.pdf |
| _version_ | 1848823644064579584 |
|---|---|
| author | Zuriani, Mustaffa M. H., Sulaiman Khairunnisa Amalina, Mohd Rosli Mohamad Farhan, Mohamad Mohsin Yuhanis, Yusof |
| author_facet | Zuriani, Mustaffa M. H., Sulaiman Khairunnisa Amalina, Mohd Rosli Mohamad Farhan, Mohamad Mohsin Yuhanis, Yusof |
| author_sort | Zuriani, Mustaffa |
| building | UMP Institutional Repository |
| collection | Online Access |
| description | The purpose of this study is to enhance the exploration capability of conventional Salp Swarm Algorithm (SSA) with the inducing of Levy Flight. With such modification, it will assist the SSA from trapping in local optimum. The proposed approach, which is later known as an improved SSA (iSSA) is employed in monthly dengue outbreak prediction. For that matter, monthly dataset of rainfall, humidity, temperature and number of dengue cases were employed, which render prediction information. The efficiency of the proposed algorithm is evaluated using Root Mean Square Error (RMSE), and compared against the conventional SSA and Ant Colony Optimization (ACO). The obtained results suggested that the iSSA was not only able to produce lower RMSE, but also capable to converge faster at lower rate as well. |
| first_indexed | 2025-11-15T03:00:24Z |
| format | Article |
| id | ump-30948 |
| institution | Universiti Malaysia Pahang |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T03:00:24Z |
| publishDate | 2020 |
| publisher | Sciendo |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | ump-309482021-06-30T08:28:33Z http://umpir.ump.edu.my/id/eprint/30948/ Predictive analysis of dengue outbreak based on an improved salp swarm algorithm Zuriani, Mustaffa M. H., Sulaiman Khairunnisa Amalina, Mohd Rosli Mohamad Farhan, Mohamad Mohsin Yuhanis, Yusof QA76 Computer software TK Electrical engineering. Electronics Nuclear engineering The purpose of this study is to enhance the exploration capability of conventional Salp Swarm Algorithm (SSA) with the inducing of Levy Flight. With such modification, it will assist the SSA from trapping in local optimum. The proposed approach, which is later known as an improved SSA (iSSA) is employed in monthly dengue outbreak prediction. For that matter, monthly dataset of rainfall, humidity, temperature and number of dengue cases were employed, which render prediction information. The efficiency of the proposed algorithm is evaluated using Root Mean Square Error (RMSE), and compared against the conventional SSA and Ant Colony Optimization (ACO). The obtained results suggested that the iSSA was not only able to produce lower RMSE, but also capable to converge faster at lower rate as well. Sciendo 2020-12-10 Article PeerReviewed pdf en cc_by_nc_nd_4 http://umpir.ump.edu.my/id/eprint/30948/1/Predictive%20analysis%20of%20dengue%20outbreak%20based%20on%20an%20improved%20salp.pdf Zuriani, Mustaffa and M. H., Sulaiman and Khairunnisa Amalina, Mohd Rosli and Mohamad Farhan, Mohamad Mohsin and Yuhanis, Yusof (2020) Predictive analysis of dengue outbreak based on an improved salp swarm algorithm. Cybernetics and Information Technologies, 20 (4). pp. 156-169. ISSN 1314-4081. (Published) https://doi.org/10.2478/cait-2020-0053 https://doi.org/10.2478/cait-2020-0053 |
| spellingShingle | QA76 Computer software TK Electrical engineering. Electronics Nuclear engineering Zuriani, Mustaffa M. H., Sulaiman Khairunnisa Amalina, Mohd Rosli Mohamad Farhan, Mohamad Mohsin Yuhanis, Yusof Predictive analysis of dengue outbreak based on an improved salp swarm algorithm |
| title | Predictive analysis of dengue outbreak based on an improved salp swarm algorithm |
| title_full | Predictive analysis of dengue outbreak based on an improved salp swarm algorithm |
| title_fullStr | Predictive analysis of dengue outbreak based on an improved salp swarm algorithm |
| title_full_unstemmed | Predictive analysis of dengue outbreak based on an improved salp swarm algorithm |
| title_short | Predictive analysis of dengue outbreak based on an improved salp swarm algorithm |
| title_sort | predictive analysis of dengue outbreak based on an improved salp swarm algorithm |
| topic | QA76 Computer software TK Electrical engineering. Electronics Nuclear engineering |
| url | http://umpir.ump.edu.my/id/eprint/30948/ http://umpir.ump.edu.my/id/eprint/30948/ http://umpir.ump.edu.my/id/eprint/30948/ http://umpir.ump.edu.my/id/eprint/30948/1/Predictive%20analysis%20of%20dengue%20outbreak%20based%20on%20an%20improved%20salp.pdf |