How Benders Decomposition Works Part I: Optimality Cuts
Towards Data Science
EDITOR BRIEF
This article gives a friendly introduction to Benders decomposition, a powerful optimization method. It uses the uncapacitated facility location problem as the example and focuses on optimality cuts, which help narrow down the search for a good solution.
INSIGHTS
This matters because decomposition is a useful way to solve large optimization problems by breaking them into smaller parts. If you're learning AI or operations research, try studying how the example problem is split and how cuts guide the solver.
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