This series of 13 articles compares Python libraries Pyomo, PuLP, OR-Tools, Gekko, CVXPY, and SciPy for building a linear programming model.
How many other optimal solutions exist? How do I find those solutions. This article explains how to use the CPLEX solution pool.
This series explores optimization of a "picking warehouse" by improving the warehouse design and efficiency of the picking process.
Crossword puzzles are a popular pastime. We design and build Mixed Integer Linear Programming models to compile crossword puzzles.
The selection of a better fantasy sports team can substantially improve performance. Excel plus OpenSolver can pick an optimal team.
We compare a linear programming model written using Julia/JuMP with the same model written using Python/Pyomo.
Given available resources, what mix of products will maximize profit? We can answer to question using Excel and the Solver add-in.
Designing an optimization model is difficult. This article explains common mathematical notation used to define optimization model formulations.