Does Your Optimizer Make "Real" Optimal Media Plan? : A New Formulation of Media Optimization Problem with HOPE
スポンサーリンク
概要
- 論文の詳細を見る
We demonstrate with a newspaper example in Japan that a large class of problems can be solves exactly by decomposing the objective function of the original problem into separable objective functions, and reformulate the problem into a multiobjective nonlinear knapsack problem, which is solved by a special algorithm called HOPE (Hybrid Optimization Process Equipment) within a practical time. The exact algorithm achieves improvement of the efficiency of media plan and provides many practical implications for media planners/advertisers as well as for media companies. For instance, the optimal combination of newspaper vehicles sometimes changes dramatically against a small change of budget. For media companies, this implies a chance of wining a majority of budget by offering a package of vehicles with an appropriate pricing.
著者
-
Igaki Nobuko
Kwansei Gakuin University
-
Yamakawa Shigetaka
Dentsu Inc Kansai
-
Isada Yuriko
Tezukayama University
-
Nakagawa Yuji
Kansai University
関連論文
- Does Your Optimizer Make "Real" Optimal Media Plan? : A New Formulation of Media Optimization Problem with HOPE
- Development of Parametric Simulation Models for Structural Analysis of Voting Behaviors in Public Referendum(数理モデルと実証)
- A COMPOUND DEPENDABILITY MEASURE ARISING FROM SEMI-MARKOV RELIABILITY MODEL
- AN IMPROVED SURROGATE CONSTRAINTS METHOD FOR SEPARABLE NONLINEAR INTEGER PROGRAMMING