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DOI: 10.14569/IJACSA.2016.070711
PDF

Firefly Algorithm for Adaptive Emergency Evacuation Center Management

Author 1: Yuhanis Yusof
Author 2: Nor Laily Hashim
Author 3: Noraziah ChePa
Author 4: Azham Hussain

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 7 Issue 7, 2016.

  • Abstract and Keywords
  • How to Cite this Article
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Abstract: Flood disaster is among the most devastating natural disasters in the world, claiming more lives and causing property damage. The pattern of floods across all continents has been changing, becoming more frequent, intense and unpredictable for local communities. Due to unforeseen scenarios, some evacuation centers that host the flood victims may also be drowned. Hence, prime decision making is required to relocate the victims and resources to a safer center. This study proposes a Firefly Algorithm (FA) to be employed in an emergency evacuation center management. Experimental analysis of a minimization problem was performed to compare the solutions produced by FA and the ones generated using Tabu Search. Results show that the proposed FA produced solutions with smaller utility value, hence indicating that it is better than the benchmark method.

Keywords: Firefly Algorithm; Swarm Intelligence; Flood Management; Evacuation Center Management

Yuhanis Yusof, Nor Laily Hashim, Noraziah ChePa and Azham Hussain, “Firefly Algorithm for Adaptive Emergency Evacuation Center Management” International Journal of Advanced Computer Science and Applications(IJACSA), 7(7), 2016. http://dx.doi.org/10.14569/IJACSA.2016.070711

@article{Yusof2016,
title = {Firefly Algorithm for Adaptive Emergency Evacuation Center Management},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2016.070711},
url = {http://dx.doi.org/10.14569/IJACSA.2016.070711},
year = {2016},
publisher = {The Science and Information Organization},
volume = {7},
number = {7},
author = {Yuhanis Yusof and Nor Laily Hashim and Noraziah ChePa and Azham Hussain}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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