in emergency, to improve the collaborative observation capacity of multiple platform resources, including satellite, airship and UAV (Unmanned Aerial Vehicle), an approach for deploying resources based on genetic optimization is proposed in this paper. We model the observation area into grids, and formulate the multi-platform resource deployment as a combination optimization problem, which has the goal of maximizing the cover probability of the observation area in the constraint of response time. Integer encoding is adopted in the approach to represent the positions of resources. Besides, elitism strategy is applied to improve the convergence rate. Experiment results demonstrate that the approach based on genetic can get satisfactory multi-platform resources deployment solutions in a short time, solving multi-platform resource optimization deployment problem effectively.
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