Preprint Article Version 1 This version is not peer-reviewed

Bacterial Foraging Algorithm for Optimal Joint-Force Searching Strategy of Multi – SAR Vessels at Sea

Version 1 : Received: 30 March 2020 / Approved: 31 March 2020 / Online: 31 March 2020 (23:26:00 CEST)

How to cite: Pham, N.H.; Nguyen, M.D. Bacterial Foraging Algorithm for Optimal Joint-Force Searching Strategy of Multi – SAR Vessels at Sea. Preprints 2020, 2020030471 (doi: 10.20944/preprints202003.0471.v1). Pham, N.H.; Nguyen, M.D. Bacterial Foraging Algorithm for Optimal Joint-Force Searching Strategy of Multi – SAR Vessels at Sea. Preprints 2020, 2020030471 (doi: 10.20944/preprints202003.0471.v1).

Abstract

Enhancing the effectiveness of search and rescue operation at sea is always a duty of utmost importance of the coastal states. The search area for distressed objects can be determined by using Monte Carlo simulation, combined with the Median-Filter. Once the search area has been identified, the success of search and rescue operations depends on the sweeping ability of search and rescue vessel at the probability area of the distress object with the minimum time. This is the important element to the success of the search and rescue operation as it minimizes the risk and cost for Search and rescue team. In this article, the authors study and propose the use of Bacterial Foraging Optimization Algorithm (BFOA) to calculate the optimal search and co-ordination route for many search and rescue vessels in Vietnam sea. The simulation results show that it is quite consistent with reality and BFOA can be effectively applied to determine a quick search.

Subject Areas

search and rescue; optimal search algorithm; BFOA; multi-direction search; co-ordinate SAR operations

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