Genetic Algorithm towards Flood Avoidance in Android Application

During a flood disaster, its reporting is an important issue for the possible victims and similarly important about the place of disaster for the rescuers. Android applications are working well to help the victims and rescuers to know the exact position of flood. Localization about place of flood and possible direction of expansion is a big issue to design a perfect alert application. In order to provide the accuracy in localization and route selection, genetic algorithm may play an important role for route optimization. One mobile application used for the disaster reporting using the same kind of concept, referred as MyDisasterDroid(MDD). This application helps to provide actual position of disaster to relief them and rescuers, but its improvement is possible through a correction in its methodology. This paper provides idea to make it better after point out its some common drawbacks. This paper, also suggested a parameter, to be added for better approach in order to route optimization. As a parameter, slop has considered with distance to find initial solution in the way to find path to nearest reservoir. In this, work researchers uses geo-location as a initial input while optimal route is a expected output.