• ISSN: 2148-2225 (online)

Ulaştırma ve Lojistik Kongreleri

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


Timur Keskintürk, Ph.D.

Eyüp Çetin, Ph.D.


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


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

Keskintürk, T. & Çetin, E. (). 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


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Volume 3, Issue 1, 2015


alphanumeric journal

Volume 3, Issue 1, 2015

Pages 1-6

Received: Aug. 20, 2014

Accepted: Jan. 3, 2015

Published: June 30, 2015

Full Text [706.1 KB]

2015 Keskintürk, T., Çetin, E.

This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence, which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.

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