The vacation planning problem: a multi-level clustering-based metaheuristic approach
type: Item
instance of: scholarly article
title: The vacation planning problem: a multi-level clustering-based metaheuristic approach
author: Nikolaos Vathis
author: Charalampos Konstantopoulos
author: Grammati Pantziou
author: Damianos Gavalas
published in: Computers \& Operations Research
publication date: 2022-12-19T00:00:00Z
Mathematics Subject Classification ID: 90Bxx
zbMATH DE Number: 7634112
zbMATH Keywords: vacation planning
zbMATH Keywords: tourist trip design problem
zbMATH Keywords: orienteering problem
zbMATH Keywords: orienteering problem with hotel selection
zbMATH Keywords: location routing problem
zbMATH Keywords: multi-level clustering
zbMATH Keywords: metaheuristic
describes a project that uses: OpenStreetMap
describes a project that uses: ElemStatLearn
MaRDI profile type: Publication
full work available at URL: j.cor.2022.106083
OpenAlex ID: W4308808601
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cites work: A greedy randomized adaptive search procedure for the orienteering problem with hotel selection
cites work: Planning in tourism and public transportation. Attraction selection by means of a personalised electronic tourist guide and train transfer scheduling
cites work: Branch-and-check approaches for the tourist trip design problem with rich constraints
DOI: 10.1016/J.COR.2022.106083
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description: scientific article; zbMATH DE number 7634112