PARETO OPTIMAL SOLUTION FOR MULTIOBJECTIVE STOCHASTIC LINEAR PROGRAMMING PROBLEMSWITH PARTIAL UNCERTAINTY Abdulqader Othman HamadameenDepartment of Mathematics, Faculty of Sceince and Health, Koya University http://koyauniversity.org A study on Multiobjective Stochastic Linear Programming (MSLP) problems with partial information on probability distribution is conducted. A method is proposed to utilize the concept of dominated solution for the Multiobjective Linear Programming (MLP) problems, and find a Pareto Optimal Solution (POS) without converting the MLP problem into its unique Linear Programming (LP) problem. An algorithm is proposed along with a numerical example which illustrated the practicability of the proposed algorithm. Comparison of results with existing methods shows the efficiency of the proposed method based on the analysis of results performed.Abstract: : MSLP problems, partial information, dominated solution for theKeywordsMLP problems, and POS. Date: 4/4/2017 Place: Department of Mathematics, Hall no. 1 |

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