This series of 13 articles compares Python libraries Pyomo, PuLP, OR-Tools, Gekko, CVXPY, and SciPy for building a linear programming model.
Job sequencing is a common problem. Excel Solver can help managers make optimal job sequencing decisions to minimize cost.
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?
How many other optimal solutions exist? How do I find those solutions. This article explains how to use the CPLEX solution pool.
We've collated many interesting optimization models in our GitHub repository. The focus is on Excel and Python models.
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.
Sometimes we need more power to solve a model. This article describes how to solve a model using the CPLEX solver via the NEOS Server.