Title: Energy-saving optimisation method for green space planning of urban gardens based on artificial bee colony algorithm

Authors: Qingfen Wang; Xinfa Zeng

Addresses: School of Architecture and Planning, Changchun Architecture and Civil Engineering College, Changchun, Jilin, China ' College of Civil Engineering, Hunan City University, Yiyang, Hunan, China

Abstract: In order to overcome the problems of time-consuming and high energy consumption in traditional green space planning optimisation methods, a new energy-saving optimisation method based on artificial bee colony algorithm is proposed. The energy-saving model of urban green space planning is established by energy plus software, and the influence of various variables on energy consumption of urban green space planning is analysed by combining the parameter operation algorithm in genpot optimisation software. Based on the artificial bee colony optimisation algorithm, the optimisation parameters are selected, the optimisation objective function is established to optimise the parameters, and the energy-saving method of urban green space planning is studied. The experimental results show that the proposed method has high optimisation efficiency, and the energy consumption of the optimised model is greatly reduced.

Keywords: artificial bee colony algorithm; urban landscape architecture; green space planning; energy conservation effect.

DOI: 10.1504/IJGEI.2020.111186

International Journal of Global Energy Issues, 2020 Vol.42 No.5/6, pp.393 - 408

Received: 07 Oct 2019
Accepted: 24 Apr 2020

Published online: 26 Oct 2020 *

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