• DocumentCode
    2787608
  • Title

    Ti time-cost-quality tradeoff optimization in construction project based on modified ant colony algorithm

  • Author

    Huang, Yuan-sheng ; Deng, Jia-jia ; Zhang, Yun-yun

  • Author_Institution
    Dept. of Econ.&Manage., North China Electr. Power Univ., Baoding
  • Volume
    2
  • fYear
    2008
  • fDate
    12-15 July 2008
  • Firstpage
    1031
  • Lastpage
    1035
  • Abstract
    How to balance time, cost and quality is crucial to construction project management. Tradeoff optimization among them is significant for the improvement of the overall benefits of construction projects. Based on inter-related linear programming functions, a model of multi-attribute utility function is established to study the tradeoff among time, cost and quality. Critical path method (CPM) and ant colony algorithm based on modified selection strategy and global pheromone are applied to obtain the optimal decision result. At last, a case study on heavy repair of instrument control system for hot blast stove is given to verify the feasibility and practicability of the model.
  • Keywords
    construction industry; critical path analysis; optimisation; project management; quality management; construction project management; critical path method; instrument control system; modified ant colony algorithm; multiattribute utility function; time-cost-quality tradeoff optimization; Ant colony optimization; Computer crashes; Conference management; Cost function; Cybernetics; Linear programming; Machine learning; Machine learning algorithms; Power generation economics; Project management; Ant colony algorithm; Multi-attribute utility function; Time-cost-quality; Tradeoff optimization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics, 2008 International Conference on
  • Conference_Location
    Kunming
  • Print_ISBN
    978-1-4244-2095-7
  • Electronic_ISBN
    978-1-4244-2096-4
  • Type

    conf

  • DOI
    10.1109/ICMLC.2008.4620556
  • Filename
    4620556