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
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