Learning heuristics for a supply planner

Supply planning is an NP-Hard problem that is often tackled when dealing with supply chain management. It is a problem with many variations but the core idea is to create a plan that resolves as much demand as possible.<br/>There are different approaches in use to solve a planning problem, one of which is by using heuristics. Heuristics are used...

Machine learning to support cutting plane selection in two-stage robust optimization problems using a column-and-constraint-generation algorithm

The field of robust optimization deals with problems where uncertainty influences the optimal decision. Some of these problems can be formulated in a ‘two-stage’ formulation, such as the location transportation problem. To solve such a problem, a column-and-constraint-generation algorithm has been introduced in which constraints are iteratively...