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Volume 1, Issue 4
Heuristic Algorithms for Simultaneously Accepting and Scheduling Advertisements on Broadcast Television

J. Info. Comput. Sci. , 1 (2006), pp. 245-251.

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  • Abstract
This paper introduces a new optimization problem for a TV station to accept and schedule adver- tisements. The TV station has its advertising slots with audience ratings, and the advertisers purchase audience ratings. The objective of the TV station is to maximize the total revenue by simultaneously accepting some of the advertisements and finding a feasible schedule for them. An integer programming model is formulated and three heuristic algorithms are proposed. The numerical experiments show that these heuristics are effective.
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@Article{JICS-1-245, author = {}, title = {Heuristic Algorithms for Simultaneously Accepting and Scheduling Advertisements on Broadcast Television}, journal = {Journal of Information and Computing Science}, year = {2024}, volume = {1}, number = {4}, pages = {245--251}, abstract = {This paper introduces a new optimization problem for a TV station to accept and schedule adver- tisements. The TV station has its advertising slots with audience ratings, and the advertisers purchase audience ratings. The objective of the TV station is to maximize the total revenue by simultaneously accepting some of the advertisements and finding a feasible schedule for them. An integer programming model is formulated and three heuristic algorithms are proposed. The numerical experiments show that these heuristics are effective. }, issn = {1746-7659}, doi = {https://doi.org/}, url = {http://global-sci.org/intro/article_detail/jics/22835.html} }
TY - JOUR T1 - Heuristic Algorithms for Simultaneously Accepting and Scheduling Advertisements on Broadcast Television AU - JO - Journal of Information and Computing Science VL - 4 SP - 245 EP - 251 PY - 2024 DA - 2024/01 SN - 1 DO - http://doi.org/ UR - https://global-sci.org/intro/article_detail/jics/22835.html KW - Scheduling, Advertisement, Audience Ratings AB - This paper introduces a new optimization problem for a TV station to accept and schedule adver- tisements. The TV station has its advertising slots with audience ratings, and the advertisers purchase audience ratings. The objective of the TV station is to maximize the total revenue by simultaneously accepting some of the advertisements and finding a feasible schedule for them. An integer programming model is formulated and three heuristic algorithms are proposed. The numerical experiments show that these heuristics are effective.
. (2024). Heuristic Algorithms for Simultaneously Accepting and Scheduling Advertisements on Broadcast Television. Journal of Information and Computing Science. 1 (4). 245-251. doi:
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