Graham Kendall
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Professor Graham Kendall

Professor Graham Kendall is the Provost and CEO of The University of Nottingham Malaysia Campus (UNMC). He is also a Pro-Vice Chancellor of the University of Nottingham.

He is a Director of MyResearch Sdn Bhd, Crops for the Future Sdn Bhd. and Nottingham Green Technologies Sdn Bhd. He is a Fellow of the British Computer Society (FBCS) and a Fellow of the Operational Research Society (FORS).

He has published over 230 peer reviewed papers. He is an Associate Editor of 10 journals and the Editor-in-Chief of the IEEE Transactions of Computational Intelligence and AI in Games.

News

What do we spend so much in supermarkets?
http://bit.ly/1yW6If7
Help solve Santa's logistics problems
http://bit.ly/1DXreuW

Latest Blog Post

How Isaac Newton could help you beat the casino at roulette

Random Blog Post

Free online access to Journal of the Operational Research Society in April 2013

Publication(s)

Applying Ant Algorithms and the No Fit Polygon to the Nesting Problem
http://bit.ly/gkQlW3
Exploring hyper-heuristic methodologies with genetic programming
http://bit.ly/Kmibw0
Automating the Packing Heuristic Design Process with Genetic Programming
http://bit.ly/19OfB8C
A Survey and Analysis of Diversity Measures in Genetic Programming
http://bit.ly/eA1Rvy

Graham Kendall: Details of Requested Publication


Citation

McMullan, P; McCollum, B and Kendall, G Scheduling TV Commercials: Models and Solution Methodologies. In Proceedings of the 7th International Conference on the Practice and Theory of Automated Timetabling (PATAT 2008), 18-22 August 2008, Montreal, Canada, 2008.

This was published in the proceedings as an abstract (not a full paper)


Abstract

Commercial advertising on television is a billion-pound industry which brings in a large percentage of the revenue for advertisement-based broadcasters (ADASSOC 2007). In order to maximize income, the broadcasters must ensure that they utilize the time devoted to advertisements in the most profitable manner possible. Commercial systems currently used by television companies to schedule advertisements are limited in the quality of the end result and flexibility to the broadcaster. Research in this area has been quite limited, with the papers that have been published generally optimizing different models.


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Bibtex

@INPROCEEDINGS{mmk2008, author = {P. McMullan and B. McCollum and G. Kendall},
title = {Scheduling TV Commercials: Models and Solution Methodologies},
booktitle = {Proceedings of the 7th International Conference on the Practice and Theory of Automated Timetabling (PATAT 2008)},
year = {2008},
editor = {E.K. Burke and M. Gendreau},
address = {18-22 August 2008, Montreal, Canada},
note = {This was published in the proceedings as an abstract (not a full paper)},
abstract = {Commercial advertising on television is a billion-pound industry which brings in a large percentage of the revenue for advertisement-based broadcasters (ADASSOC 2007). In order to maximize income, the broadcasters must ensure that they utilize the time devoted to advertisements in the most profitable manner possible. Commercial systems currently used by television companies to schedule advertisements are limited in the quality of the end result and flexibility to the broadcaster. Research in this area has been quite limited, with the papers that have been published generally optimizing different models.},
keywords = {TV, television, scheduling, commercials},
owner = {rxj},
timestamp = {2008.09.12},
webpdf = {http://www.graham-kendall.com/papers/mmk2008.pdf} }