Research Of Memetic Algorithm For Remote Health Monitoring Offline Service Scheduling

With the continuous improvement of people's living standards and the ever-accelerating pace of life,the burden on the body is getting bigger and bigger,and people's demand for health care services is increasing.However,it is difficult to provide satisfactory health care services for all residents in reality,and remote health monitoring offline service task scheduling is an effective health care service technology.Through the rational allocation of medical vehicles,planning the optimal service path,to serve all patients in need of service at the lowest cost.This paper focuses on the research and analysis of various types of the problem of offline service task scheduling in medical scheduling center,establishes related models,and uses related algorithms to simulate the examples to verify the feasibility and effectiveness of the algorithm.The specific work is as follows:1.A memetic algorithm based on chaotic particle swarm and random climbing is proposed.Aiming at the problem of offline service task scheduling in a single medical scheduling center,the mathematical model is established to solve the problem of offline service task scheduling in a single medical scheduling center,the results show that the algorithm is effective for solvingthe problem of offline service task scheduling in a single medical scheduling center.2.A memetic algorithm based on adaptive particle swarm and reheating simulated annealing is proposed.Aiming at the problem of offline service task scheduling in multi-medical scheduling center,the mathematical model is established to solve the problem of offline service task scheduling in multi-medical scheduling center based on a remote health monitoring system,by using the clustering analysis method,the relatively complex multi medical dispatching center is converted into a single medical dispatch center,an example is given to illustrate the practicability of the proposed meme algorithm in solving the problem of offline service task scheduling in multi-medical scheduling center.3.A memetic algorithm based on adaptive step length firefly and tabu search annealing is proposed.Aiming at the problem of offline service task scheduling inmedical scheduling center with hard time window,according to the target function and constraint condition,the mathematical model is established to solve the problem of offline service task scheduling in medical scheduling center with hard time window,it is proved that the algorithm is practical for solving the problem of offline service task scheduling in medical scheduling center with hard time window.4.A memetic algorithm based on genetic and adaptive cooling simulated annealing is proposed.aiming at the problem of offline service task scheduling in medical scheduling center with soft time window,according to the target function and constraint condition,the mathematical model is established to solve the problem of offline service task scheduling in medical scheduling center with soft time window,and using a 2-opt to generate a certain number of local search neighborhoods.The result proves that the algorithm is practical for solving the problem of offline service task scheduling in medical scheduling center with soft time window.