Learning surrogate functions for the short-horizon planning in same-day delivery problems
type: Item
instance of: scholarly article
title: Learning surrogate functions for the short-horizon planning in same-day delivery problems
DOI: 10.1007/978-3-030-78230-6_18
author: Adrian Bracher
author: Nikolaus Frohner
author: Günther R. Raidl
publication date: 2022-03-21T00:00:00Z
Mathematics Subject Classification ID: 68T20
Mathematics Subject Classification ID: 90C27
zbMATH DE Number: 7493635
zbMATH Keywords: same-day delivery
zbMATH Keywords: dynamic and stochastic vehicle routing
zbMATH Keywords: sampling
zbMATH Keywords: surrogate function optimization
zbMATH Keywords: supervised learning
describes a project that uses: Adam
MaRDI profile type: Publication
full work available at URL: 978-3-030-78230-6 18
OpenAlex ID: W3167995232
cites work: An adaptive large neighborhood search for a vehicle routing problem with multiple routes
cites work: Scenario-Based Planning for Partially Dynamic Vehicle Routing with Stochastic Customers
cites work: A general heuristic for vehicle routing problems
cites work: Approximate Dynamic Programming
description: scientific article; zbMATH DE number 7493635