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Algorithm h Research n on e Obstacle Avoidance Path Planning for Elevating Emergency

lifting emergency rescue stretcher; Genetic algorithm; Obstacle avoidance path planning; MATLAB simulation

6.AI-driven technology > (3)、Advanced sensing and intelligent computation

The genetic algorithm is applied to

the path planning of lifting emergency rescue stretcher,

and the corresponding algorithm program is designed. In

terms of obstacle avoidance path planning, according to

the process of genetic algorithm, the path length is set as

the fitness of the individual. First of all, the known

working environment is modeled, obstacles and feasible

squares are illuminated, and the starting point and end

point are set. Then the corresponding parameters such as

variation rate are set, and finally, the path with the highest

output fitness is regarded as the optimal path. The

algorithm used in this paper is simulated on MATLAB

software, and the experimental results show that the

algorithm designed in this paper gets the shortest path