In this paper, resource flow variables are extracted from the internal structural features of the logistics distribution process and a new method for optimizing the internal structure of the logistics distribution system by using the characteristic state space is proposed. The characteristic state equation is constructed to represent the input and output resources of each basic logistics activity. The basic logistics activity equation is iterated according to the resource flow, and the implementation of the basic logistics process is visually and quantitatively expressed in the form of the characteristic state matrix. According to the nature of the characteristic state space, the optimization problem of the logistics distribution system is transformed into a critical path-planning problem, the gradient calculation of the objective function is solved, and an improved genetic algorithm is proposed. This accelerates the convergence speed of the algorithm and reduces the running time of the optimization process. Taking a listed logistics distribution enterprise as an example, the optimization algorithm is verified, which proves the advantages of the algorithm and provides a new method and theoretical basis for the analysis and optimization of the logistics distribution system.

In order to solve the technical evaluation problem of key scientific and technological research and development projects, this article uses the technology evaluation method of entropy weight cloud theory to evaluate the project. The index is selected according to the 'DISCOW' construction principle, policy guidance method, and shortest distance method. The information contribution degree is used to verify the index system. The entropy weight-Analytic Hierarchy Process is adopted to determine the weights of the indicator layer and the criterion level indicators. The evaluation method is verified with the key technology research and development project (equipment manufacturing industry) of Dalian Jin pu New Area (state-level new areas) in 2018. The results show that the technology evaluation method of the entropy weight cloud theory is simple and practical. It can effectively convert qualitative and quantitative evaluations. The evaluation results are objective and consistent with the final evaluation results of actual projects. It demonstrates a good evaluation and forecasting ability. It can be used as the theoretical basis and method to evaluate projects in government science and technology departments, and in enterprises previous compliance projects