基于离散粒子群优化的植物景观规划方法研究

IF 0.5 Q4 ENGINEERING, ENVIRONMENTAL

International Journal of Environmental Technology and Management Pub Date : 2021-07-23 DOI:10.1504/ijetm.2021.10039854

Fang Lian Li, Yue Xu

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引用次数: 0

摘要

针对传统景观植物景观规划方法规划精度低、成本高的问题，提出了一种基于离散粒子群优化的植物景观规划算法。对植物景观规划路径的三维坐标系进行变换，确定植物景观规划的路径。利用非线性规划数学模型对植物景观规划路径进行约束，得到植物景观规划的适应度目标函数。粒子群算法用于优化植物景观规划路径，粒子群优化算法用于改进植物景观规划的路径。对衔接进行了优化，完成了植物景观规划。实验结果表明，路径规划的准确率高达98%，植物景观的美观度达到95%以上。

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Study on plant landscape planning method based on discrete particle swarm optimisation

In order to solve the problems of low planning accuracy and high cost in traditional landscape plant landscape planning methods, a plant landscape planning method based on discrete particle swarm optimisation (DPSO) was proposed. The three-dimensional coordinate system of plant landscape planning path is transformed to determine the plant landscape planning path. The nonlinear programming mathematical model is used to constrain the plant landscape planning path, and the fitness objective function of plant landscape planning is obtained. The particle swarm optimisation algorithm is used to optimise the plant landscape planning path, and the particle swarm optimisation algorithm is used to improve the plant landscape planning path. The convergence was optimised to complete the plant landscape planning. The experimental results show that the accuracy of path planning is up to 98% and the aesthetic degree of plant landscape is more than 95%.

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来源期刊

International Journal of Environmental Technology and Management ENGINEERING, ENVIRONMENTAL-

CiteScore

1.00

自引率

0.00%

发文量

期刊介绍： IJETM is a refereed and authoritative source of information in the field of environmental technology and management. Together with its sister publications IJEP and IJGEnvI, it provides a comprehensive coverage of environmental issues. It deals with the shorter-term, covering both engineering/technical and management solutions.