Authors: Fang-Lian Li; Yue-Guang Xu
Addresses: College for Creative Studies, Changzhou Vocational Institute of Textile and Garment, Changzhou, Jiangsu 213164, China ' Design and Art Institute, Hunan University of technology and Business, Changsha 410215, China
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.
International Journal of Environmental Technology and Management, 2021 Vol.24 No.3/4, pp.184 - 199
Received: 13 Jul 2020
Accepted: 12 Nov 2020
Published online: 03 Aug 2021 *