Abstract

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

Author(s): Chen Li, Lv Yongbo, Chen Chi

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.