Medical Waste Recycling Path Optimization Algorithm Research

This paper introduces the optimization algorithm of medical waste recovery path, and proposes three methods: Saving Algorithm, Particle Swarm Optimization and Improved Genetic Algorithm. The topology method is used to model the internal environment of a medical institution, and the Delaunay Triangle Network is used to build the building terrain path model of the medical institution. Finally, the three path optimization algorithms of the Saving Algorithm, Particle Swarm Optimization and Improved Genetic Algorithm are compared. Through experiments, Improved Genetic Algorithm has strong path finding ability, has good parallelization and global search, and compared with the other two algorithms, it has obvious advantages in path length, path selection and running time.