Predictive analysis of dengue outbreak based on an improved salp swarm algorithm

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)

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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.

Item Type: Article
Additional Information: Indexed by Scopus
Uncontrolled Keywords: Dengue outbreak prediction; Meta-heuristic; Optimization, predictive analysis; Salp swarm algorithm; Swarm intelligence
Subjects: Q Science > QA Mathematics > QA76 Computer software
T Technology > TK Electrical engineering. Electronics Nuclear engineering
Faculty/Division: Institute of Postgraduate Studies
Faculty of Computing
Faculty of Electrical and Electronic Engineering Technology
Depositing User: Mrs Norsaini Abdul Samat
Date Deposited: 30 Jun 2021 08:28
Last Modified: 30 Jun 2021 08:28
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