Beberapa Metode pada Masalah Pemrograman Stokastik

  • Ihda Hasbiyati Universitas Riau, Pekanbaru
  • Hasriati Hasriati Universitas Riau, Pekanbaru

Abstract

Stochastic programming problem is mathematical problem (linear, integer, mixed integer, and nonlinier) with stochastic element lies data. To get reasonable solution and optimal with its stochastic data is needed several method.  Applicable method in trouble stochastic programming are L-Shape decomposition and lagrange decomposition. Each method can determine optimal solution to troubleshoots stochastic programming

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References

[1] Ihda Hasbiyati. Simple Technique of Projected Lagrange for a Class of Multi-Stage Stochastic Nonlinear Programs. Global Journal of Technology & Optimization. Volume 6. Issue 3. (2015).
[2] Ihda Hasbiyati. .A Projected Lagrangian Approach for a Class of Multi-Stage Stochastic Nonlinear Programs. Proceeding Conference of the International Federation of Operational research Societies (IFORS). Melbourne Convention and Exhibition Centre, Melbourne, Australia. (2011)
[3] Peter Kall & Janos Mayer. Stochastic Linear programming, Spriger, New York.(2005)
[4] Peter Kall & Stein W. Wallace. Stochastic Programming, Springer, New York.(1994)
[5] M.S. Bazaraa and C.M. Shetty. Nonlinear Programming, Theory, and Algorithms, (2nd Ed.), John Wiley & Sons, NewYork. (1993)
Published
2017-10-28
How to Cite
HASBIYATI, Ihda; HASRIATI, Hasriati. Beberapa Metode pada Masalah Pemrograman Stokastik. Jurnal Matematika: MANTIK, [S.l.], v. 3, n. 2, p. 83-86, oct. 2017. ISSN 2527-3167. Available at: <http://jurnalsaintek.uinsby.ac.id/index.php/mantik/article/view/167>. Date accessed: 24 nov. 2017.