SELECTING SUSTAINABLE BUILDING MATERIALS USING SYSTEM DYNAMICS AND ANT COLONY OPTIMIZATION

被引:17
|
作者
Marzouk, Mohamed [1 ]
Abdelhamid, Manal [2 ]
Elsheikh, Mohamed [2 ]
机构
[1] Cairo Univ, Fac Engn, Dept Struct Engn, Giza 12613, Egypt
[2] Housing & Bldg Natl Res Ctr, Construct & Project Management Res Inst, Giza, Egypt
关键词
materials selection; environmental sustainability; green building materials; LEED; system dynamics; ant colony optimization; CONSTRUCTION; MANAGEMENT; DESIGN; IMPACT; MODEL; LEED;
D O I
10.3846/16486897.2013.788506
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Selecting environmentally preferable building materials is one way to reduce the negative environmental impacts associated with the built environment. This paper proposes a framework that incorporates environmental and economic constraints while maximizing the number of credits reached under the Leadership in Energy and Environmental Design (LEED) rating system. The framework helps decision makers with the appropriate selection of conventional and green building materials. It consists of two modules: System Dynamics module and Ant Colony Optimization module. The paper describes the developments made in these two modules, where the selection of building materials is carried out based on LEED credits and costs. The proposed framework provides more credits when using environmentally friendly materials. A case study of residential building is presented to demonstrate the main features of proposed framework.
引用
收藏
页码:237 / 247
页数:11
相关论文
共 50 条
  • [31] Scalable platforms using ant colony optimization
    Rupesh Kumar
    Venkat Allada
    Journal of Intelligent Manufacturing, 2007, 18 : 127 - 142
  • [32] Using ant colony optimization for efficient clustering
    Yong Wang
    Wei Zhang
    Jun Chen
    Jianfu Li
    Li Xiao
    ICMIT 2007: MECHATRONICS, MEMS, AND SMART MATERIALS, PTS 1 AND 2, 2008, 6794
  • [33] Network Formation Using Ant Colony Optimization
    Oimoen, Steven C.
    Peterson, Gilbert L.
    Hopkinson, Kenneth M.
    ANT COLONY OPTIMIZATION AND SWARM INTELLIGENCE, PROCEEDINGS, 2008, 5217 : 405 - 406
  • [34] Network Optimization Using Ant Colony Algorithm
    Munge, Mamta
    Shubhangi, Handore
    2016 INTERNATIONAL CONFERENCE ON AUTOMATIC CONTROL AND DYNAMIC OPTIMIZATION TECHNIQUES (ICACDOT), 2016, : 952 - 954
  • [35] Process Discovery Using Ant Colony Optimization
    Chinces, Diana
    Salomie, Ioan
    19TH INTERNATIONAL CONFERENCE ON CONTROL SYSTEMS AND COMPUTER SCIENCE (CSCS 2013), 2013, : 448 - 454
  • [36] Pareto optimization using the method of ant colony
    Chengar, Olga
    Savkova, Elena
    Vladimirova, Elena
    Sapozhnikov, Nikolay
    INTERNATIONAL CONFERENCE ON MODERN TRENDS IN MANUFACTURING TECHNOLOGIES AND EQUIPMENT (ICMTMTE 2017), 2017, 129
  • [37] Motif Finding Using Ant Colony Optimization
    Bouamama, Salim
    Boukerram, Abdellah
    Al-Badarneh, Amer F.
    SWARM INTELLIGENCE, 2010, 6234 : 464 - +
  • [38] Using Ant Colony Optimization For Routing In VLSI
    Arora, Tamanna
    Moses, Melanie
    ADVANCED BIO-INSPIRED COMPUTATIONAL METHODS, 2008, : 184 - 196
  • [39] Sensor scheduling using ant Colony Optimization
    Schrage, D
    Gonsalves, PG
    FUSION 2003: PROCEEDINGS OF THE SIXTH INTERNATIONAL CONFERENCE OF INFORMATION FUSION, VOLS 1 AND 2, 2003, : 379 - 385
  • [40] Multilevel thresholding using ant colony optimization
    Liang, Yun-Chia
    Yin, Yueh-Chuan
    Chen, Angela Hsiang-Ling
    IMECS 2007: INTERNATIONAL MULTICONFERENCE OF ENGINEERS AND COMPUTER SCIENTISTS, VOLS I AND II, 2007, : 1848 - +