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Cooperative Search and Rescue Target Assignment Based on Improved Ant Colony Algorithm

  • Defa Zhu,
  • Lichun Yang,
  • Jiaqi Wu

摘要

When a large number of people fall into the water at sea, the key to the success of maritime search and rescue is to quickly arrive at these locations and finish the rescue task. A target assignment model of multiple resources cooperative search and rescue at sea is established, and a target assignment solution based on improved ant colony algorithm is proposed. This method optimizes the target selection mechanism of search and rescue resources, and makes full use of the global search ability of ant colony algorithm to explore the optimal solution. The simulation results show that this method can quickly and effectively provide the target assignment scheme of search and rescue resources, maximize the survival probability, and improve the efficiency of search and rescue at sea.