{"title":"基于离散粒子群优化的植物景观规划方法研究","authors":"Fang Lian Li, Yue Xu","doi":"10.1504/ijetm.2021.10039854","DOIUrl":null,"url":null,"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%.","PeriodicalId":13984,"journal":{"name":"International Journal of Environmental Technology and Management","volume":" ","pages":""},"PeriodicalIF":0.5000,"publicationDate":"2021-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Study on plant landscape planning method based on discrete particle swarm optimisation\",\"authors\":\"Fang Lian Li, Yue Xu\",\"doi\":\"10.1504/ijetm.2021.10039854\",\"DOIUrl\":null,\"url\":null,\"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%.\",\"PeriodicalId\":13984,\"journal\":{\"name\":\"International Journal of Environmental Technology and Management\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":0.5000,\"publicationDate\":\"2021-07-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Environmental Technology and Management\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1504/ijetm.2021.10039854\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"ENGINEERING, ENVIRONMENTAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Environmental Technology and Management","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1504/ijetm.2021.10039854","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"ENGINEERING, ENVIRONMENTAL","Score":null,"Total":0}
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%.
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.