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We've collated many interesting optimization models in our GitHub repository. The focus is on Excel and Python models.
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?
Designing an optimization model is difficult. This article explains common mathematical notation used to define optimization model formulations.
Allocating people to teams is a task common in both sport and business. We allocate 32 people to 4 teams that are as balanced as possible.
Job sequencing is a common problem. Excel Solver can help managers make optimal job sequencing decisions to minimize cost.
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.
We explore methods to decide the best order for positioning devices in a rack: enumeration, heuristics, constraint programming, and linear programming.
