This series of 13 articles compares Python libraries Pyomo, PuLP, OR-Tools, Gekko, CVXPY, and SciPy for building a linear programming model.
We've collated links to dozens of websites about optimization modelling. The links are organized into several categories.
We minimize trim waste in a paper manufacturing process. A theoretically perfect solution is impractical, so what can we do?
Optimal facility location is a common & difficult decision that organizations need to make. We build a location optimization model in Excel.
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?
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.
We present an example of project crashing using an optimization model to help the project manager decide what to do.
How many other optimal solutions exist? How do I find those solutions. This article explains how to use the CPLEX solution pool.