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For questions about optimization over a discrete solution space.
5
votes
Traveling Salesman: Any "Room" for Derivatives?
Derivatives can be very important
for solving nonconvex problems, especially Mixed Integer NonLinear Programs (MINLP).
A standard approach in Operations Research for solving a nonconvex problem is to
…
1
vote
Why is Discrete Optimization "Difficult'?
Problems with non-convex feasible regions tend to be hard to solve to a global optimum because hill-climbing algorithms are not guaranteed to work.
A hill climbing algorithm, though typically fast, wi …
3
votes
Sensitivity Analysis for Traveling Salesman
You can certainly do sensitivity/parametric analysis on the objective function. If you are interested in the effect of changing a single coefficient in a linear objective function to be minimized, e.g …