
Research on landscape Spatial Structure Optimization of Garden sculpture based on improved Particle Swarm Optimization algorithm
Author(s) -
Mengxiao Chen
Publication year - 2020
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.179
H-Index - 26
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/580/1/012009
Subject(s) - sculpture , particle swarm optimization , multi swarm optimization , harmony search , harmony (color) , mathematical optimization , computer science , continuous optimization , algorithm , mathematics , geography , art , visual arts , archaeology
Traditional methods in landscape sculpture landscape spatial structure optimization, did not consider the harmony between sculpture landscape and garden, there is a problem of long optimization processing time. Therefore, this paper designs a new optimization method of landscape sculpture spatial structure by improving particle swarm optimization algorithm. This paper analyzes the influence of garden sculpture on the whole space of the garden, and establishes the landscape space structure optimization model of garden sculpture. The spatial optimization index of garden sculpture landscape was established through analysis, and the spatial optimization constraints were set. The improved particle swarm optimization algorithm was used to solve the optimization model, and the optimization of the sculpture landscape spatial structure was completed. Compared with the optimization method based on genetic algorithm, the experiment shows that the optimization method based on improved particle algorithm has short processing time, and the optimized vegetation area, harmony between sculpture and garden are significantly improved, with better application effect.