Alternate optimal solutions can be handled by choosing any solution that satisfies the objective, or by considering secondary criteria, such as minimizing risk or resource usage, to select the best option for decision-making.

Alternate optimal solutions in linear programming can be handled by identifying multiple solutions that yield the same objective value and selecting the best one based on additional criteria.

When handling alternate optimal solutions in linear programming, follow these steps: Identify alternate solutions using methods like the graphical approach or the simplex method. Characterize the solutions by finding all feasible options that yield the same optimal value. Use decision-making criteria such as flexibility, cost, risk, or resource availability to select the best solution. Conduct sensitivity analysis to assess how changes in parameters affect the optimality of the solutions. Choose and document the selected solution, providing a clear rationale for the decision. Alternate solutions offer flexibility, allowing decision-makers to pick the most practical or cost-effective option.