Learning surrogate functions for the short-horizon planning in same-day delivery problems

DOI10.1007/978-3-030-78230-6_18OpenAlexW3167995232MaRDI QIDQ2117229

Günther R. Raidl, Adrian Bracher, Nikolaus Frohner

Publication date: 21 March 2022

Full work available at URL: https://doi.org/10.1007/978-3-030-78230-6_18

zbMATH Keywords

samplingsupervised learningsame-day deliverydynamic and stochastic vehicle routingsurrogate function optimization

Mathematics Subject Classification ID

Combinatorial optimization (90C27) Problem solving in the context of artificial intelligence (heuristics, search strategies, etc.) (68T20)

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Uses Software

• Adam

Cites Work

• An adaptive large neighborhood search for a vehicle routing problem with multiple routes
• A general heuristic for vehicle routing problems
• Approximate Dynamic Programming
• Scenario-Based Planning for Partially Dynamic Vehicle Routing with Stochastic Customers