Istrazivanja i projektovanja za privreduJournal of Applied Engineering Science


ISSN: 1451-4117

E-ISSN: 1821-31977
Volume 5 number 18, pages: 37 - 46

Goben Abu Mohamed 
Al Quds Open University, Gaza, Palestina

Krcevinac Slobodan 
Faculty of Organizational Sciences, Belgrade, Serbia

Vujosevic Mirko  
Faculty of Organizational Sciences, Belgrade, Serbia

The term modeling system, mainly used in the field of optimization, may be considered as the synonym for modern decision support systems. This system consists of modeling languages, solvers for finding optimal solution of the model, data bases and user interface and communication infrastructure for the elements of the system. The modeling systems enable a wide application of operations research methods and techniques in an easy and friendly way. Solving optimization problems will be in the future more available for a larger number of users, not the privilege of mathematical programming specialists or operations research professionals.

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1. (2007) AIMMS. Paragon Decision Technology, The Netherlands,

2. (2007) GNU linear programming kit.

3. (2007) gPROMS.

4. (2002) A mathematical modeling language: An introduction. Department of Informatics, University of Fribourg

5. (2007) Mixed INTeger Optimizer.

6. (2007) Modelica.

7. (2007) NEOS.

8. (2007) Optimization programming language.

9. (2007) Cyberinfrastructure vision for 21st century discovery. National Science Foundation Cyberinfrastructure Council, March

10. (2007) ASCEND.

11. (2007) XPress-MP. Dash Optimization Ltd, England,

12. (2007) COIN-OR. http: //

13. (2007) Cplex: Mathematical programming optimizer.

14. (2007) EXTEND.

15. Bixbi, R. (2007) From planning to operations. u: EURO XXII, July, Prague, Presentation

16. Brooke,, i dr. (1992) GAMS: A user's guide. Danvers, Massachusetts: Boyd & Fraser Publishing Company, Release 2.25

17. Carlisle,, i dr. (2001) Mathematical markup language, version 2.0

18. Foster, I., Kesselman, C., Tuecke, S. (2001) The anatomy of the grid: Enabling scalable virtual organizations. Int J Supercomputer Applications, vol. 15, br. 3

19. Fourer, R., Gay, D.M., Kernighan, B.W. (1993) AMPL: A modeling language for mathematical programming. Danvers, MA: Boyd and Fraser Publishing Co

20. Geoffrion, A., Krishnan, R. (2001) Prospects for operations research in the e-business era., Feb

21. Halldorsson,, i dr. (2000) A modeling interface to non-linear programming solvers an instance: XMPS, the extended MPS format. Carnegie Mellon University, Technical report

22. Hurlimann (1999) Mathematical modeling and optimization. u: Applied Optimization, Volume 31: An Essay for the Design of Computer-Based Modeling Tools, Dordrecht: Kluwer Academic Publishers

23. Lopes,, i dr. (2001) An XML-based format for communicating optimization problems.

24. Neumaier (2003) Mathematical model building. u: Kallrath J. [ur.] Modeling Languages in Mathematical Optimization, Dordrecht: Kluwer

25. NSF (2003) Revolutionizing science and engineering through cyberinfrastructure.

26. Ven,, i dr. (2007) Stimulating collaborative development in operations research with libOR. u: Scotto Marco and Succi Giancarlo [ur.] Proceedings of the First International Conference on Open Source Systems, Genova

27. Vujošević, D. (2006) Upotreba poslovne inteligencije u podizanju performansi organizacije. Beograd: FON, magistarski rad