Abstract: A timed Petri net (TPN) has been widely used for modeling, scheduling, and analyzing discrete event dynamic systems. This study examines cyclic scheduling problems of a TPN to minimize the ...
This repository contains code relating to the paper "A Combinatorial Branch-and-Bound Algorithm for the Capacitated Facility Location Problem under Strict Customer Preferences" by Christina Büsing, ...
ReviBranch is a novel deep reinforcement learning framework for Mixed Integer Linear Programming (MILP) branching variable selection. It addresses three fundamental challenges in learning-based ...
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