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Found 4 papers, 1 papers with code
Threshold-aware Learning to Generate Feasible Solutions for Mixed Integer Programs
Our study investigates that a specific range of variable assignment rates (coverage) yields high-quality feasible solutions, where we suggest optimizing the coverage bridges the gap between the learning and MIP objectives.
Confidence Threshold Neural Diving
Finding a better feasible solution in a shorter time is an integral part of solving Mixed Integer Programs.
A Deep Reinforcement Learning Approach for Solving the Traveling Salesman Problem with Drone
Reinforcement learning has recently shown promise in learning quality solutions in many combinatorial optimization problems.
An Attention-LSTM Hybrid Model for the Coordinated Routing of Multiple Vehicles
State-less attention-based decoder fails to make such coordination between vehicles.
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