The selection of a better fantasy sports team can substantially improve performance. Excel plus OpenSolver can pick an optimal team.
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Academic research papers can be tremendously valuable. But only if they are complete. So, academics, please publish your data and code.
Why does my model find different solutions? Some solutions are better than others – how can that be? How do I find the best solution?
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.
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.
To compare optimization modelling in Excel and Python, we replicate a Python model then compare it with an equivalent Excel implementation.
Crossword puzzles are a popular pastime. We design and build Mixed Integer Linear Programming models to compile crossword puzzles.
We run optimization model cases 10 times faster, fully using the parallel capabilities of the CPU cores/threads in a modern computer.
Designing an optimization model is difficult. This article explains common mathematical notation used to define optimization model formulations.
We've collated links to dozens of websites about optimization modelling. The links are organized into several categories.
