• DocumentCode
    1869006
  • Title

    The Subdivided Investment Scheduling Problem with Market Lives

  • Author

    Zhang, Tongquan ; Yin, Ying

  • Author_Institution
    Sch. of Math. & Comput. Sci., Yunnan Nat. Univ., Kunming, China
  • fYear
    2010
  • fDate
    10-12 Dec. 2010
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    We consider an investment problem where n possible entries are to be selected by a single investment company.There is a capital resource limition C for the company.For every possibly selected entry i ∈ {1, 2, ··· , n},there is a required operation capital Oi, a market life Li,a required operation finished time Ti and a currently potential profit Pi which could be only obtained by the company Pi {(1 - Sj/Lj),Sj is the start time of operation entry i, because human resource is limited for the company, the next entry could be operated only when the privous entry has finished its operation. The objective is to find an ordered entry subset of {1, 2, ···,n} S = {i1,i2, ··· ,ik} which satisfied Σj∈s Oj ≤ C and Σj∈s Pj (1 -Sj/Lj) is maximized. We define this problem as the subdivided investment sequencing problem with market lives, analyze its NP-hardness, and give an efficient heuristic algorithm for it.
  • Keywords
    computational complexity; investment; profitability; scheduling; set theory; NP-hardness; capital resource limitation; heuristic algorithm; human resource; investment company; investment problem; market life; operation capital; ordered entry subset; profit; subdivided investment scheduling; subdivided investment sequencing problem; Algorithm design and analysis; Companies; Computers; Heuristic algorithms; Humans; Investments; Processor scheduling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Software Engineering (CiSE), 2010 International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-5391-7
  • Electronic_ISBN
    978-1-4244-5392-4
  • Type

    conf

  • DOI
    10.1109/CISE.2010.5676722
  • Filename
    5676722