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Obtaining Optimal Solution by Using Very Good Non-Basic Feasible Solution of the Transportation and Linear Programming Problem

DOI: 10.4236/ajor.2017.75021, PP. 285-288

Keywords: Optimal BSF Solution, Transportation Problem, Linear Programming Problem

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Abstract:

For the transportation problem, Sharma and Sharma [1] have given a very computationally efficient heuristic (runs in O(c*n2) time) to give very good dual solution to transportation problem. Sharma and Prasad [2] have given an efficient heuristic (complexity O(n3) procedure to give a very good primal solution (that is generally non-basic feasible solution) to transportation problem by using the very good dual solution given by Sharma and Sharma [2]. In this paper we use the solution given by Sharma and Prasad [2] to get a very good Basic Feasible Solution to transportation problem, so that network simplex (worst case complexity (O(n3*(log(n))) can be used to reach the optimal solution to transportation problem. In the second part of this paper, we give a simple heuristic procedure to get a very good BFS to linear programming problem from the solution given by Karmarkar [3] (that generally produces a very good non-basic feasible solution in polynomial time (O(n5.5)). We give a procedure to obtain a good BFS for LP by starting from the solution given by Karmarkar [3]. We note that this procedure (given here) is significantly different from the procedure given in [4].

References

[1]  Sharma, R.R.K. and Sharma, K.D. (2000) A New Dual Based Procedure for the Transportation Problem. European Journal of Operational Research, 122, 611-624.
https://doi.org/10.1016/S0377-2217(99)00081-8
[2]  Sharma, R.R.K. and Prasad, S. (2003) Obtaining a Good Solution to the Uncapacitated Transportation Problem. European Journal of Operational Research, 144, 560-564.
https://doi.org/10.1016/S0377-2217(01)00396-4
[3]  Karmarkar, N. (1984) A New Polynomial Time Algorithm for Linear Programming. Combinatorica, 4, 373-395.
https://doi.org/10.1007/BF02579150
[4]  Ye, Y.Y. (1990) Recovering Optimal Basic Variables in Karmarkar's Polynomial Algorithm for Linear Program. Mathematics of Operations Research, 15, 564-572.
https://doi.org/10.1287/moor.15.3.564

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