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

Fang-Lian Li and Yue-Guang Xu

International Journal of Environmental Technology and Management, 2021, vol. 24, issue 3/4, 184-199

Abstract: 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%.

Keywords: discrete particle swarm optimisation algorithm; plant landscape planning; nonlinear programming mathematical model; penalty function; fitness function. (search for similar items in EconPapers)
Date: 2021
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