We estimate the speed improvement for optimization solvers in the 35 years from 1989 to 2024. The results may be surprising.
We compare a linear programming model written using Julia/JuMP with the same model written using Python/Pyomo.
This series explores optimization of a "picking warehouse" by improving the warehouse design and efficiency of the picking process.
We've collated links to dozens of websites about optimization modelling. The links are organized into several categories.
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.
This series of 13 articles compares Python libraries Pyomo, PuLP, OR-Tools, Gekko, CVXPY, and SciPy for building a linear programming model.
We describe an example of how to represent price breaks in a linear programming model, built in Excel using Solver or OpenSolver.