Abstract
In 2000s, the frequency of natural disasters occurrence has increased continuously. Due to abnormal climate change, natural disasters such as torrential downpours and typhoons have been occurring more frequently. Therefore, need for research on an effective disaster response system is emphasized. Nonetheless, the existing disaster response systems are not yet efficient. This study deals with the distributed emergency vehicle routing problem for emergency logistics in disaster situations. This problem has different characteristics from the general vehicle route problem. This study suggests a solution procedure that consists of two parts. The one is to generate an emergency vehicle routing plan for individual vehicle and the other is to coordinate those plans for headquarter. The algorithm for generating a routing plan is made up optimization technique using the integer programming and a metaheuristic using the genetic algorithm. And for coordinating, a priority based heuristic and k-means clustering are proposed. The performance of the suggested algorithm is empirically proven to be efficient in both solution quality and search time in various problem size.
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