Research And Development Of Intelligent Vehicle Logistics Scheduling System Based On Improved Adaptive Genetic Algorithm

With the rapid development of the automotive consumer market,the business volume of vehicle logistics scheduling is also soaring.Faced with such a large order delivery volume,the traditional distribution mode of logistics centers cannot meet the rapid growth demand of the total order business.Therefore,many logistics enterprises have begun to research and develop intelligent scheduling systems for vehicle logistics.Firstly,the paper analyzed the current research status and existing problems of vehicle scheduling paths,vehicle scheduling,and load optimization both domestically and internationally.Then,taking the development of a vehicle logistics scheduling system for logistics enterprises as the research object,a business requirement analysis of vehicle logistics scheduling problem was conducted,clarifying the definition of vehicle logistics scheduling problem.Secondly,based on the optimization requirements of vehicle delivery scheduling,considering constraints such as vehicle load and geometric dimensions in actual scheduling,a mathematical model for the optimization problem of vehicle logistics scheduling was established with the total cost of vehicle logistics scheduling as the optimization objective.Then,an evolutionary decay factor and scanning strategy were introduced,and an adaptive improved genetic algorithm was proposed to avoid the premature convergence phenomenon of traditional adaptive genetic algorithms.The effectiveness of the algorithm was verified through a series of simulation experiments.Compared to adaptive genetic algorithms,they significantly improve search efficiency and optimization performance,and their overall scheduling cost is better.Finally,according to the software engineering development process,the overall design of the intelligent scheduling system is completed,including the design of software architecture,database design and various functional modules.The system uses SSM framework,Java development language,Bootstrap framework technology,and My SQL database technology to program and implement a complete vehicle logistics intelligent scheduling system.The main functions of the system include order information management function,customer information management function,commodity vehicle information management function,transportation capacity information management function,intelligent scheduling function,system management function,etc.After system testing and application implementation,the system meets the performance requirements and functions meet the usage requirements.