Alternative optimal solutions in linear programming

What is Alternate Optimal Solution?

An alternate optimal solution is also called as an alternate optima, which is when a linear / integer programming problem has more than one optimal solution. Typically, an optimal solution is a solution to a problem which satisfies the set of constraints of the problem and the objective function which is to maximize or minimize.

Example:

Alternative optimal solutions in linear programming
 

Here, the graphical analysis of a problem is given with set of (< =) constraints and a maximizing objective function. The optimal solution set is a smaller set within the feasible region. Here, the objective function is parallel to cd line segment. Hence, all points (x1, x2) on cd give maximum yield. In such case, there is alternate optimal solution.

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Abstract

In the presence of degeneracy, the meaning of alternative optimal solutions may not necessarily imply the existence of alternative solution points. This note is intended to highlight the possibly ambiguous meaning of alternative optimal solutions to L. P. problems in the presence of degeneracy- a point which is glossed over by most O. R. texts.

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Abstract

In this paper, the nonlinear programming problem with quasimonotonic (both quasiconvex and quasiconcave) objective function and linear constraints is considered. With the decomposition theorem of polyhedral sets, the structure of optimal solution set for the programming problem is depicted. Based on a simplified version of the convex simplex method, the uniqueness condition of optimal solution and the computational procedures to determine all optimal solutions are given, if the uniqueness condition is not satisfied. An illustrative example is also presented.

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Author information

Authors and Affiliations

  1. School of Management, Jinan University, Guangzhou, 510632, China

    Xue Shengjia

Authors

  1. Xue Shengjia

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Additional information

Supported by the Research Foundation of Jinan University (04SKZD01).

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Xue, S. On alternative optimal solutions to quasimonotonic programming with linear constraints. Appl. Math. Chin. Univ. 22, 119–125 (2007). https://doi.org/10.1007/s11766-007-0015-x

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  • Received: 30 April 2006

  • Issue Date: March 2007

  • DOI: https://doi.org/10.1007/s11766-007-0015-x

MR Subject Classification

  • 90C30

Keywords

  • quasimonotonic programming problem
  • polyhedral set
  • decomposition theorem
  • alternative optimal solution
  • convex simplex method

What is alternative optimal solution in simplex method?

- In Simplex algorithm, alternative solutions are detected when there are 0 valued coefficients for nonbasic variables in row-0 of the optimal tableau. - If there is no nonbasic variable with a zero coefficient in row 0 of the optimal tableau, the LP has a unique optimal solution.

How many optimal solutions are there in linear programming?

There are infinitely many optimal solutions which solve the equation: 2x1 + 3x2 == 100/3, between x1==0, and x1==20/3. You have already identified the solutions at the two corners.

Can there be more than one optimal solution in linear programming?

No, this is not possible. Indeed, consider two optimal solutions and to the optimization problem . A better explanation is that the set of optimal solutions to a convex optimization problem is a convert set itself. Thus, if there are at least 2 optimal solutions, every point between them must also be optimal.

How can you tell for sure that a problem has alternate optimal solutions?

After completing the Simplex method, see if there is a zero in your objective row. Having a zero there is an indication that there is an alternate optimal solution. To find it, do one more iteration, using the column with the zero in your objective row as the pivot column.