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Gotta (efficiently) catch them all: Pokémon GO meets Orienteering Problems

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  • Álvarez-Miranda, Eduardo
  • Luipersbeck, Martin
  • Sinnl, Markus

Abstract

In this paper, a new routing problem, referred to as the Generalized Clustered Orienteering Problem (GCOP), is studied. The problem is motivated by the mobile phone game Pokémon GO, an augmented reality game for mobile devices holding a record-breaking reception: within the first month of its release, more than 100 million users have installed the game on their devices. The game’s immense popularity has spawned several side businesses, including taxi-tours visiting locations where the game can be played, as well as companies offering to play the game for users during times when they cannot. Further applications arise in typical operative transportation problems that seek for tours that are both time-effective and profitable. Besides the typical traveling distances, in the GCOP we also have prizes or revenues associated with the nodes. Additionally, we are given with K node subsets (clusters) and a budget B for the length of the tour. The optimization task is to find a tour that maximizes the total collected prize while ensuring that (i) at least one node of each cluster is visited, and (ii) the total distance of the tour does not exceed the budget B.

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  • Álvarez-Miranda, Eduardo & Luipersbeck, Martin & Sinnl, Markus, 2018. "Gotta (efficiently) catch them all: Pokémon GO meets Orienteering Problems," European Journal of Operational Research, Elsevier, vol. 265(2), pages 779-794.
    • Handle: RePEc:eee:ejores:v:265:y:2018:i:2:p:779-794
    DOI: 10.1016/j.ejor.2017.08.012
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