How many other optimal solutions exist? How do I find those solutions. This article explains how to use the CPLEX solution pool.
This article series implements a staff scheduling model in Excel using OpenSolver, then in Python using Pyomo.
The selection of a better fantasy sports team can substantially improve performance. Excel plus OpenSolver can pick an optimal team.
We explore two aspects of refactoring an existing optimization model: Modularization and adding model variations.
This series of 13 articles compares Python libraries Pyomo, PuLP, OR-Tools, Gekko, CVXPY, and SciPy for building a linear programming model.
This series explores optimization of a "picking warehouse" by improving the warehouse design and efficiency of the picking process.
This article replicates and extends a transportation optimization model for managing a COVID-19 vaccination plan in Hong Kong.
Why does my model find different solutions? Some solutions are better than others – how can that be true? How do I find the overall best solution?