Adaptive Emergency Evacuation Centre Management for Dynamic Relocation of Flood Victims using Firefly Algorithm


  • Noraziah ChePa Computational Intelligence Research Group, School of Computing, Universiti Utara Malaysia, Malaysia
  • Nor Laily Hashim Software Technology, School of Computing, Universiti Utara Malaysia, Malaysia
  • Yuhanis Yusof Software Technology, School of Computing, Universiti Utara Malaysia, Malaysia
  • Azham Hussain Software Technology, School of Computing, Universiti Utara Malaysia, Malaysia


Flood, Evacuation Centre, Optimization, Firefly Algorithm,


Situations during bad flood demands a systematic management of evacuation centres. Flood evacuation centres which are gazeted as temporary locations to evacuate flood victims have chances from being drowned by flood. Problem occurs to relocate flood victims when the evacuations centres are flooded. Currently, there is no study done on proposing a decision support aid to reallocate victims and resources of the evacuation centre when the situation getting worsens. Therefore, this article proposes a decision aid model to be utilized in realizing an adaptive emergency evacuation centre management system. This study undergoes two main phases; development of algorithm and models, and development of a web-based and mobile app. The proposed model operates using Firefly multi-objective optimization algorithm that creates an optimal schedule for the relocation of victims and resources for an evacuation centre. The proposed decision aid model and the adaptive system can be applied in supporting the National Security Council’s respond mechanisms for handling disaster management level II (State level) especially in providing better management of the flood evacuating centres.


Government Portal 2015. Public Infor Banjir, retrieved from

Bernama 2015. Kaji Kawasan Baharu Untuk Dijadikan Pusat

Pemindahan Banjir - Panglima Retrieved from

Rusdi Ishak (personal communication, 12 January 2014)

HM Goverment. 2006. Evacuation and Shelter Guidance. Retrieved February 26, 2015, from

Zhu, J., Huang, J., Liu, D., and Han, J. "Resource Allocation Problem for Local Reserve Depots in Disaster Management based on Scenario Analysis". 7th International Symposium on Operations Research and Its Applications (ISORA’08).2008. Lijiang, China

Duran, S., Gutierrez, M. A., and Keskinocak, P. "Pre-Positioning of Emergency Items for CARE International". Interfaces. vol. 41(3), pp. 223-237, 2011.

Yang, X.-S. 2010. Nature-inspired metaheuristic algorithms 2nd edition. United Kingdom: Luniver Press.

Hassanzadeh, T., Faez, K., and Seyfi, G. "A Speech Recognition System Based on Structure Equivalent Fuzzy Neural Network Trained by Firefly Algorithm. Proceedings of the International Conference on Biomedical Engineering (ICoBE), Penang, 2012.Hassanzadeh, T., Vojodi, H., and Moghadam, A. M. E. "An Image Segmentation Approach Based on Maximum Variance Intra-Cluster Method and Firefly Algorithm". 7th International Conference on Natural Computation (ICNC). Shanghai, China, 2011.

Horng, M. H., and Jiang, T. W. "Multilevel Image Thresholding Selection based on the Firefly Algorithm". 7th International Conference on Ubiquitous Intelligence & Computing and 7th International Conference on Autonomic & Trusted Computing. 2010.

Dos Santos Coelho, L., De Andrade Bernert, D. L., and Mariani, V. C. "A chaotic firefly algorithm applied to reliability-redundancy optimization". IEEE Congress on Evolutionary Computation (CEC) 2011. New Orleans, LA.

Pop, C. B., Chifu, V. R., Salomie, I., Baico, R. B., Dinsoreanu, M., and Copil, G. "A Hybrid Firefly-inspired Approach for Optimal Semantic Web Service Composition". Scientific International Journal for Parallel and Distributed Computing. vol. 12(3), 2011.

Nandy, S., Sarkar, P. P., and Das, A. "Analysis of a Nature Inspired Firefly Algorithm based Back-propagation Neural Network Training". International Journal of Computer Applications. vol. 43(22), pp. 8-16, 2012.

Adaniya, M. H. A. C., Abr˜ao, T., and Proenc¸a Jr., M. L. "Anomaly Detection Using Metaheuristic Firefly Harmonic Clustering". Journal of Networks. vol. 8(1), pp. 82-91, 2013.

Dorasamy, M., Raman, M., and Kaliannan, M. "Evaluating CEMAS in Simulated Environment to Support Disaster Management Challenges". 11th International ISCRAM Conference. Pennsylavania: University Park. pp. 444-453, 2014.

Koora, B.K., Satpute, N.R., Adiga, A., "Tabu search based

implementation of object tracking using joint color texture histogram". 7th IEEE International Conference of Industrial and Information Systems

(ICIIS), 2012. 6-9 August 2012. 1-6.

Rathore, A., Bohara, A., Gupta Prashil, R., Lakshmi Prashanth, T. S. and Srivastava, P.P. "Application of genetic algorithm and tabu search in software testing. In 4th Annual ACM Bangalore Conference (COMPUTE '11). 2011, New York, USA.




How to Cite

ChePa, N., Hashim, N. L., Yusof, Y., & Hussain, A. (2016). Adaptive Emergency Evacuation Centre Management for Dynamic Relocation of Flood Victims using Firefly Algorithm. Journal of Telecommunication, Electronic and Computer Engineering (JTEC), 8(8), 115–119. Retrieved from

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