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YAZILIM PROJESİ SEÇİM PROBLEMİNDE ÇOK AMAÇLI OPTİMİZASYON UYGULAMASI

AN APPLICATION OF MULTIOBJECTIVE OPTIMIZATION ON SOFTWARE PROJECT SELECTION PROBLEM

Journal Name:

  • Dokuz Eylül Üniversitesi İşletme Fakültesi Dergisi

Publication Year:

  • 2016

Key Words:

Keywords (Original Language):

Author NameUniversity of AuthorFaculty of Author
Abstract (2. Language): 
Companies consider a large number of objectives while selecting the projects according to their budgets. Although it varies depending on the type of the project and structure of the company, benefits of the project, profitability, cost, efficiency and risk profile of the project are taken into account within limited resources. Because these objectives are interrelated, they should be evaluated together for a right selection of the solving method. In this study, it is aimed to select the best project of a software company. Firstly, TOPSIS and VIKOR methods are used to order projects from the best to the worst. Then, the selection problem is resolved by multiobjective genetic algorithm. All results are compared and the best project is selected.
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Abstract (Original Language): 
İşletmeler bütçeleri dahilinde uygulamak istedikleri projeleri seçerken çok sayıda amacı göz önünde bulundururlar. Projenin türü ve işletmenin yapısına göre değişmekle birlikte, projenin faydası, karlılık, maliyet, verimlilik, risk ve sınırlı kaynaklar düşünülerek gerçekleştirilmeye çalışılmaktadır. Bu kriterler birbirleriyle ilişkili olduğundan, birlikte değerlendirilmeleri doğru bir seçimin yapılabilmesi için önemlidir. Bu çalışmada, bir yazılım firmasının yürüttüğü projeler içinden, belirlenen kriterler göz önüne alınarak en iyi projenin seçilmesi amaçlanmıştır. Çok Kriterli Karar Verme yöntemlerinden olan TOPSIS ve VIKOR ile projeler amaçları karşılama derecesine göre sıralanmıştır. Kriterler amaç fonksiyonları olarak düzenlenerek çok amaçlı evrimsel optimizasyon algoritması ile proje seçim problemi yeniden çözülmüştür. Tüm sonuçlar karşılaştırılarak en iyi projenin seçimi ile sonuca ulaşılmıştır.
FULL TEXT (PDF): 
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REFERENCES

References: 

Amiri, B. (2012). A multi-objective hybrid optimization algorithm for project
selection problem. J Basic Appl Sci Res, 2(7), 6995-7002.
Chatterjee P, Athawale, V.M., Chakraborty S. (2010). Selection of industrial
robots using compromise ranking and outranking methods. Robotics
and Computer-Integrated Manufacturing, 26(5), 483-489.
De Weck, O. (2004). Multiobjective optimization: History and promise.
Invited Keynote Paper, GL2-2, The Third China-Japan-Korea Joint
Symposium on Optimization of Structural and Mechanical Systems,
Kanazawa, Japan.
Deb, K. (2001). Multi-objective optimization using evolutionary
algorithms (Vol. 16). Chichester, UK: John Wiley & Sons.
Ghorbani, S. ve Rabbani, M. (2009). A new multi-objective algorithm for a
project selection problem. Advances in Engineering Software, 40(1),
9-14.
Goldberg, D.E. (1989). Genetic algorithms in search, optimization and
machine learning. Boston, MA: Addison-Wesley.
Hwang, C.L. ve Yoon, K. (1981). Multiple Attribute Decision Making. In:
Lecture Notes in Economics and Mathematical Systems 186. Berlin:
Springer-Verlag.
Kremmel, T., Kubalík, J., Biffl, S. (2010). Software project portfolio
optimization with advanced multiobjective evolutionary
algorithms. Applied Soft Computing, 11(1), 1416-1426.
Medaglia, A.L., Graves, S.B., Ringuest, J.L. (2007). A multiobjective
evolutionary approach for linearly constrained project selection
under uncertainty. European Journal of Operational
Research, 179(3), 869-894.
Miettinen, K. (1999). Nonlinear multiobjective optimization (Vol. 12).
Springer.
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Opricovic, S. ve Tzeng, G.H. (2004). Compromise solution by MCDM
methods: A comparative analysis of VIKOR and TOPSIS. European
Journal of Operational Research, 156, 445-455.
Rabbani, M., Bajestani, M.A., Khoshkhou, G.B. (2010). A multi-objective
particle swarm optimization for project selection problem. Expert
Systems with Applications, 37(1), 315-321.
Ringuest, J.L. ve Graves, S.B. (1989). The linear multi-objective R&D
project selection problem. IEEE Transactions on Engineering
Management, 36(1), 54-57.
Sharma, T.N. (2011). Analysis of software cost estimation using COCOMO
II. International Journal of Scientific & Engineering Research, 2(6),
1-5.
Triantaphyllou, E. ve Lin, C.T. (1996). Development and evaluation of five
fuzzy multiattribute decision-making methods. International Journal
of Approximate Reasoning, 14(4), 281-310.
Tzeng, G.H., Lin, C.W., Opricovic, S. (2005). Multi-criteria analysis of
alternative-fuel buses for public transportation. Energy Policy, 33,
1373-1383.
Zeleny, M. (1982). Multiple Criteria Decision Making. New York: McGraw-
Hill.

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