Muhamad Farhin Harun, A. A. Samah, H. Majid, Y. Yusoff, Y. Lim
{"title":"利用遗传算法优化绿色建筑设计,实现绿色建筑指标","authors":"Muhamad Farhin Harun, A. A. Samah, H. Majid, Y. Yusoff, Y. Lim","doi":"10.1109/ICT-ISPC.2017.8075310","DOIUrl":null,"url":null,"abstract":"Designing a feasible green building that complies with national green building assessment is one of the main problems faced by architects. The existing Building Information Modelling (BIM) software, is used by architects to assist them to design a green building. Green building is a concept where the building is environmentally friendly to the surrounding, does not use too much electricity and have low Overall Thermal Transfer Value (OTTV). Architects having some tough time to design green building because OTTV of the building majorly affected by wall and window material used. Hence in this study, single objective Genetic Algorithm (GA) is proposed to optimize green building designed by BIM. A decision support system using GA optimization is proposed to optimize green building designed using BIM. The goal is to find an optimum material combination that produces nearly optimum OTTV. The initial result shows that GA manages to find optimum materials combination with a reduced 16% OTTV.","PeriodicalId":377665,"journal":{"name":"2017 6th ICT International Student Project Conference (ICT-ISPC)","volume":"21 3","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":"{\"title\":\"Optimization of green building design to achieve green building index (GBI) using genetic algorithm (GA)\",\"authors\":\"Muhamad Farhin Harun, A. A. Samah, H. Majid, Y. Yusoff, Y. Lim\",\"doi\":\"10.1109/ICT-ISPC.2017.8075310\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Designing a feasible green building that complies with national green building assessment is one of the main problems faced by architects. The existing Building Information Modelling (BIM) software, is used by architects to assist them to design a green building. Green building is a concept where the building is environmentally friendly to the surrounding, does not use too much electricity and have low Overall Thermal Transfer Value (OTTV). Architects having some tough time to design green building because OTTV of the building majorly affected by wall and window material used. Hence in this study, single objective Genetic Algorithm (GA) is proposed to optimize green building designed by BIM. A decision support system using GA optimization is proposed to optimize green building designed using BIM. The goal is to find an optimum material combination that produces nearly optimum OTTV. The initial result shows that GA manages to find optimum materials combination with a reduced 16% OTTV.\",\"PeriodicalId\":377665,\"journal\":{\"name\":\"2017 6th ICT International Student Project Conference (ICT-ISPC)\",\"volume\":\"21 3\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-05-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"10\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 6th ICT International Student Project Conference (ICT-ISPC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICT-ISPC.2017.8075310\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 6th ICT International Student Project Conference (ICT-ISPC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICT-ISPC.2017.8075310","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Optimization of green building design to achieve green building index (GBI) using genetic algorithm (GA)
Designing a feasible green building that complies with national green building assessment is one of the main problems faced by architects. The existing Building Information Modelling (BIM) software, is used by architects to assist them to design a green building. Green building is a concept where the building is environmentally friendly to the surrounding, does not use too much electricity and have low Overall Thermal Transfer Value (OTTV). Architects having some tough time to design green building because OTTV of the building majorly affected by wall and window material used. Hence in this study, single objective Genetic Algorithm (GA) is proposed to optimize green building designed by BIM. A decision support system using GA optimization is proposed to optimize green building designed using BIM. The goal is to find an optimum material combination that produces nearly optimum OTTV. The initial result shows that GA manages to find optimum materials combination with a reduced 16% OTTV.