In recent years,the express logistics service industry has always maintai ned a rapid development speed,but there are also problems such as scattered industry resources,fragmented services,malicious competition between companies,high costs and so on."Shared logistics" provides the solution to the above problems.Its core is to share,integrate and optimize the express logistics res ources,so as to achieve the purpose of reducing cost and increasing efficiency.This paper studies the integration and optimization of express logistics resources from the following aspects: the construction of the integration mode of express logistics re sources,the integration of shared express logistics service network,and the scheduling of collaborative transportation resources.Firstly,this thesis proposes a mode of full-chain coordinated express logistics resource integration,including the mode of shared express logistics service network resource integration,and the non-standard express service combination mode for coordinated transportation.Different integration modes are proposed for shared networks with different levels,including backbone network,distribution network and terminal network.Based on the shared express logistics service network,this thesis designs a non-standard express service combination mode for cooperative transportation to dispatch various express logistics resources and complete tasks.Secondly,aiming at the structural confusion,waste of resource,and high cost in the terminal network and distribution network,the distribution center and terminal network owned by multiple express logistics organizations are integrated through cancellation and merger.This thesis proposes an integration and optimization model with minimizing total cost as the objective function,and designs a genetic-simulated annealing hybrid algorithm based on neighborhood search to solve the model,and designs a initialization rule based on greedy algorithm and four neighborhood search rules.This paper also implements two decomposition algorithms based on immune genetic algorithm and simulated annealing algorithm to solve the model and comparing the experiment results of the three algorithms.At the same time,experiments are designed to verify the effectiveness of the four neighborhood search operations.Then,aiming at the problems of insufficient of transfer capacity in the backbone network,and the inability of single express logistics organization to cover the whole area especially remote areas.This thesis establishes a multi-agent coordinated transportation resource scheduling model with the goal of the smallest transportation cost,the shortest transportation time,and the highest service quality,and introduces the idea of lexicographical order to solve the model.This thesis designs an improved three-information ant colony-genetic hybrid algorithm to solve the model,with the adaptive catastrophe operator based on the maximum and minimum ants.The experiment results are compared and analyzed with the traditional genetic algorithm and the traditional ant colony algorithm.Finally,focusing on the mode of express logistics resource integration,the model and algorithm proposed in this thesis are used as the technical core to realize the express logistics resource integration and optimization configuration system as a subsystem of the express logistics shared service platform.Verify the effectiveness of the model and algorithm.At the same time,this thesis verifies the effectiveness of models and algorithms with the system. |