Abstracto

An analysis of location optimization of science and technology with the perspective of logistics network based on chaotic particle swarm algorithm

Li Chen, Yongbo Lv, Chi Chen

Technical industry and large-scale scientific instruments play the role of promoting economic and social development. But the existing studies mostly focus on the operational efficiency of large-scale scientific instruments and technical industry, and rarely on the spatial resources allocation of large-scale scientific instruments, that is, spatial layout. In this article, the location optimization of the science and technology resources for operation were analyzed using chaotic particle swarm optimization (C-PSO) algorithm, on the basis of logistics network. It is found that C - PSO algorithm can be well applied to the location problem of the specific practice, and provide feasible technical support for location optimization of science and technology resources.