An Improved Ant Colony Algorithm for Path Optimization in Emergency Rescue

The ant colony algorithm is widely applied to optimize the complex problems in many fields with its features of being robust, parallel, flexible, demanding no artificial interference, and accurate. This paper discusses the application of the colony algorithm in the path search of the earthquake emergency rescue. We first construct a mathematical model for emergency rescue based on the earthquake disasters. Then we propose an improved ant colony algorithm for the rescue path searching optimization according to the specific characteristics of the mode, and the global iterative update strategy is used with limiting the rescue entries. Experiments show that the proposed algorithm can overcome the shortcomings of conventional algorithms such as slow convergence, easily trapped in local optimum, and demonstrating high and flexibility performance.