A Genetic Algorithm Based Approach For Mixed-Media Advertising Budgeting

作者:Sun Ying*; Mao Zhizhong
来源:1st WRI Global Congress on Intelligent Systems (GCIS 2009), China,Fujian,Xiamen, 2009-05-19 to 2009-05-21.
DOI:10.1109/GCIS.2009.47

摘要

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.

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