• DocumentCode
    498322
  • Title

    A Genetic Algorithm Based Approach For Mixed-Media Advertising Budgeting

  • Author

    Ying, Sun ; Zhizhong, Mao

  • Author_Institution
    Sch. of Inf. Sci. & Eng., Northeastern Univ. Shenyang, Shenyang, China
  • Volume
    3
  • fYear
    2009
  • fDate
    19-21 May 2009
  • Firstpage
    269
  • Lastpage
    273
  • Abstract
    Mixed-media advertising which has become more effective and popular attracts the attention of advertising agencies, media planners and advertisers. How to decide and allocate the budget for mixed-media advertising becomes a fundamental part of a company´s advertising campaign.In this paper, an optimization approach based on Genetic Algorithm is proposed to deal with this advertising budget problem which is formulated as a constrained nonlinear programming problem. Then an experiment example is given to explain the process of our approach. The result of this example supports the feasibility and efficiency of our method.
  • Keywords
    advertising; budgeting; genetic algorithms; advertising agencies; genetic algorithm based approach; media advertisers; media planners; mixed-media advertising budgeting; nonlinear programming problem; optimization approach; Advertising; Constraint optimization; Genetic algorithms; Genetic engineering; Information science; Intelligent systems; Marketing and sales; Sun; Thumb; Vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Systems, 2009. GCIS '09. WRI Global Congress on
  • Conference_Location
    Xiamen
  • Print_ISBN
    978-0-7695-3571-5
  • Type

    conf

  • DOI
    10.1109/GCIS.2009.47
  • Filename
    5209163