The Optimization Model of Searching the Wreckage

* Corresponding author Abstract—In order to search the wreckage, this paper establish the particle network model, in terms of Monte Carlo simulation method and the Bayesian theory. Based on analytic inverse extrapolation, we use Monte Carlo simulation method to simulate thousands of particles and the distribution of the aircraft crash position. According to the relationship between the successful search probability, the depth of seabed, and the size of crashed plane, the model is developed. We get the successful search probability in each grid. Based on Bayesian theory and above probability distribution, we renew the probability distribution in each grid, if no wreckage is found after the search is completed. To ensure the largest success probability for each search, we find the wreckage in the least time. In this paper, we set several positions of the wreckage. In this method to search 16 times, we minimize the total search area.