Ship Navigation Safety Assessment Based on Improved Particle Swarm Algorithm

In response to the increasingly complex navigational conditions and in order to ensure the safety of ship navigation, the improved particle swarm optimisation algorithm is proposed to optimise the weights of the fuzzy assessment method and establish an environmental safety risk evaluation model for ocean-going passenger ships. As the traditional particle swarm algorithm is easy to fall into local optimum, it is proposed to give particle perturbation when the particles are in stable state to jump out of local optimum. The optimized weights of the improved particle swarm algorithm are applied to assess the environmental risk of the ship under the analysis of the factors affecting the environmental safety of the ship's navigation. The assessment scores can greatly approach the expert environmental safety risk assessment scores. The evaluation results demonstrate the superiority of the improved particle swarm algorithm over the traditional particle swarm algorithm. The improved particle swarm algorithm confirms the feasibility of the model and the correction of the weights makes the experimental results more valuable.