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.
Highlights
Disaster management is extremely important in today’s world and it focuses on the organization and management of resources and responsibilities for dealing with all humanitarian aid
This study proposes the employment of a swarm intelligence algorithm (i.e Firefly Algorithm) in the Adaptive Emergency Evacuation Center Management (AEECM) that monitors and manage evacuation centers
Even though various strategies have been implemented in managing flood evacuation centers, unforeseen scenarios may lead to the closure of the center
Summary
Disaster management is extremely important in today’s world and it focuses on the organization and management of resources and responsibilities for dealing with all humanitarian aid. Flood evacuation centres in Malaysia are managed by the Department of Social Welfare (Jabatan Kebajikan Masyarakat) and works closely with a number of governmental and non-governmental agencies to provide necessary steps to ensure safety and comfort in every evacuation centre. These individuals are the backbone of the flood evacuation centre and often face difficulty in decision making such as for resource allocation. In the work by Zhu, Huang, Liu and Han [1] , the researchers propose a resource allocation model that is aimed at determining the location of reserve depots and the amount and type of resources to be stored It is modelled based on discrete scenarios that is divided into two; local government and national. The proposed FA determines to where (i.e which available centers) victims in an evacuation center should be re-located and how many of them should be moved to each identified center
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