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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 …
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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 …
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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 …
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