Topics

Applications

13 posts

Optimization and learning methods applied to concrete problems: vehicle routing, facility layout, scheduling, inventory control, portfolio selection, economic dispatch, path planning, data envelopment analysis and more.

Each post defines the problem, explains how it is modeled for the algorithm, and provides code that you can run and adapt to your own case.