Learning to Approximate Industrial Problems by Operations Research Classic Problems

Operations research (OR) practitioners are accustomed to dealing with variants of classic OR problems. Indeed, an industrial problem often looks like a traveling salesman problem, vehicle routing shortest path etc., but has additional constraint or different objective that prevent the use powerful algorithms produced by decades on This situation can be frustrating, notably when we realize catches most structure variant. In “Learning approximate problems operations problems,” Axel Parmentier introduces machine learning approach for The idea is leverage structured obtain mapping approximates instance variant problem.