alphanumeric journal
The Journal of Operations Research, Statistics, Econometrics and Management Information Systems
A Genetic Algorithm Metaheuristic For The Weapon-Target Based Media Allocation Problem
Abstract
This effort is to solve the media allocation model using metaheuristic genetic algorithm. The NP-complete model which is an integer nonlinear programming is originated from the weapon-target assignment problem of military operations research. We solve the hypothetical example is previously given and solved by MS Excel’s Solver using genetic algorithm in this paper. We obtain better solutions than found in the previous published study.
Keywords: Advertising Campaign, Genetic Algorithm, Integer Nonlinear Programming, Metaheuristics
Jel Classification: C02, M31, M37
Silah-Hedef Temelli Medya Planlama Problemi İçin Genetik Algoritma Metasezgiseli
Öz
Çalışmanın amacı medya planlama problemini genetik algoritma metasezgiseli ile çözmektir. Problem askeri yöneylem araştırması alanındaki silah-hedef atama probleminden modifiye edilerek, NP-complete model olan tamsayılı doğrusal olmayan programlama problemi olarak modellenmiştir. Çalışmada, daha önce MS Excel Çözücü ile çözülen bir hipotetik problem genetik algoritma kullanılarak çözülmüştür. Daha önce raporlanan sonuçtan daha iyi bir sonuç bulunmuştur.
Anahtar Kelimeler: Genetik Algoritma, Metasezgiseller, Reklam Kampanyası, Tamsayılı Doğrusal Olmayan Programlama
Suggested citation
(). A Genetic Algorithm Metaheuristic For The Weapon-Target Based Media Allocation Problem. Alphanumeric Journal, 3(1), 1-6. http://dx.doi.org/10.17093/aj.2015.3.1.5000128271
References
- Belenky, A. S., Nistraman Consulting, 2001. An Approach to Planning an Advertising Campaign of Goods and services, Computers and Mathematics with Applications. 42: 993-1008.
- Çetin, E., Tolun Esen, S., 2006. A Weapon-target Assignment Approach to Media Allocation, Applied Mathematics and Computation. 175:1266-1275.
- Fox Media Company, Independent Media Planning and Buying Specialists, http://ourworld.compuser.com /homepages/foxmedia/mediap_.htm, (02/12/2005).
- Goldberg, D.E., 1989. Genetic Algorithms in Search Optimization and Machine Learning, Addison Wesley Publishing Company. USA.
- Hairong, L. Advertising Media, http://www.admedia.org, (02/10/2005).
- Keskinturk, T., Yildirim, M.B., A genetic algorithm metaheuristic for bakery distribution vehicle routing problem with load balancing, 2011 International Symposium on INnovations in Intelligent SysTems and Applications (INISTA 2011), 287-291 pp., Istanbul, Turkey, June 2011.
- Locander, W.B., Scamell, R.W., Sparkman, R.M., Burton, J.P., 1978. Media Allocation Model Using Nonlinear Benefit Curves, Journal of Business Research, 6: 273-293.
- Reeves, C.R., 1995. Modern Heuristic Techniques for Combinatorial Problems, Mcgraw-Hill Book Company Inc., Europe.
2015.03.01.OR.01
alphanumeric journal
Pages 1-6
Received: Aug. 20, 2014
Accepted: Jan. 3, 2015
Published: June 30, 2015
2015 Keskintürk, T., Çetin, E.
This is an Open Access article, licensed under Creative Commons Attribution-NonCommercial 4.0 International License.
scan QR code to access this article from your mobile device
Contact Us
Faculty of Transportation and Logistics, Istanbul University
Beyazit
Campus 34452 Fatih/Istanbul/TURKEY
Bahadır Fatih Yıldırım, Ph.D.
editor@alphanumericjournal.com
+ 90
(212) 440 00 00 - 13219
alphanumeric journal
alphanumeric journal has been publishing as "International Peer-Reviewed Journal" every six months since 2013. alphanumeric serves as a vehicle for researchers and practitioners in the field of quantitative methods, and is enabling a process of sharing in all fields related to the operations research, statistics, econometrics and management informations systems in order to enhance the quality on a globe scale.