Analysis of Site Selection Optimization of Construction Industrialization Base via Improved Particle Swarm Optimization Algorithm

Abstract

In order to select the site of the construction industrialization base scientifically and rationally, the METROPOLIS sampling and membrane computing methods are adopted to improve the particle swarm optimization algorithm, and the realization of the improved algorithm in the optimization of the site selection of the construction industrialization base is introduced. In this study, the quantity of the construction base is determined in the actual terrain, and the optimization results before and after the improvement of particle swarm optimization algorithm are compared and analyzed. The result shows that the terrain here is suitable for the establishment of 7 construction industrialization bases. In the optimization of site selection, the improved particle swarm optimization algorithm can help to obtain better site selection optimization results, whose fitness is improved from 1.75 to nearly 1.87. It proves that the improved particle swarm optimization algorithm via METROPOLIS sampling and membrane computing is more efficient than the traditional one. This study is of very important reference value for the application of improved particle swarm optimization in construction industrialization.