• DocumentCode
    2103119
  • Title

    Optimization Study on Resource Equilibrium with Fixed Time Limit for a Project Based on SPSO Algorithm

  • Author

    Li, Qingfu ; Guo, Jixian ; Yi, Mingxing

  • Author_Institution
    Sch. of Water Conservancy & Environ. Eng., Zhengzhou Univ., Zhengzhou
  • fYear
    2008
  • fDate
    21-22 Dec. 2008
  • Firstpage
    70
  • Lastpage
    73
  • Abstract
    During the course of construction, how to keep the utilization of resource balance, and avoid frequent and serious peak or low-vale of utilization is an important problem. The reasonable solution of the problem can reduce the scale of temporary establishments and economize expenditure furthest. The algorithm of SPSO was introduced into the optimization solution of resource equilibrium with fixed time limit for a project, the model considering multi-resource optimization was established and was improved at the aspect of algorithm to make it more adaptable to the calculation of SPSO. The sample analysis shows that the SPSO is superior to the traditional methods in resource optimization, and it can not only converge on the globally optimal solution effectively but also achieve different optimization schemes to provide several schemes for construction decision-making. The research fruits have important reference value on the construction management plan of a project.
  • Keywords
    particle swarm optimisation; construction decision making; construction management plan; fixed time limit; multiresource optimization; optimization solution; particle swarm optimisation algorithm; reference value; resource balance; resource equilibrium; Arithmetic; Decision making; Genetic mutations; Information technology; Mathematical model; Mathematics; Optimization methods; Particle swarm optimization; Water conservation; Water resources; SPSO algorithm; optimization; resource equilibrium;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Information Technology Application Workshops, 2008. IITAW '08. International Symposium on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-0-7695-3505-0
  • Type

    conf

  • DOI
    10.1109/IITA.Workshops.2008.147
  • Filename
    4731883