A deep reinforcement learning based hyper-heuristic for combinatorial optimisation with uncertainties

DOI10.1016/j.ejor.2021.10.032zbMath1495.90168OpenAlexW3208057219MaRDI QIDQ2116843

Ruibin Bai, Rong Qu, Chaofan Tu, Jiahuan Jin, Yuchang Zhang

Publication date: 18 March 2022

Published in: European Journal of Operational Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ejor.2021.10.032

zbMATH Keywords

transportationhyper-heuristicsdeep reinforcement learning2D packingcontainer truck routing

Mathematics Subject Classification ID

Transportation, logistics and supply chain management (90B06) Approximation methods and heuristics in mathematical programming (90C59) Combinatorial optimization (90C27)

Related Items (3)

Lagrange dual bound computation for stochastic service network design ⋮ A framework for inherently interpretable optimization models ⋮ Using Automated Algorithm Configuration for Parameter Control

Uses Software

• Hyperheuristics

Cites Work

• Unnamed Item
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• Recent advances in selection hyper-heuristics
• A graph-based hyper-heuristic for educational timetabling problems
• Approximate strip packing: revisited
• A New Placement Heuristic for the Orthogonal Stock-Cutting Problem

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