Marine intelligent search and rescue method based on particle swarm optimization

The invention discloses an intelligent maritime search and rescue method based on particle swarm optimization, and belongs to the field of ship local path planning. The method is applied to a maritime unmanned autonomous intelligent search and rescue platform, and comprises the following steps: firstly, acquiring the positions of drowning persons according to Beidou positioning, initializing the positions of the drowning persons, calculating the fitness of each drowning person, then updating the fitness of the drowning persons by tracking two extreme values (pbest and gbest), and updating the positions of the drowning persons again according to two optimal values. Therefore, the optimal path is found to rescue the drowning person. According to the algorithm, an optimal solution is searched mainly through cooperation and information sharing among individuals in a group, global optimum is searched by following a currently searched optimal value according to continuous changes of positions of people falling into