Conference scheduling - a personalized approach

Bart Vangerven, Annette Ficker, Dries Goossens, Ward Passchyn, Frits Spieksma and G Woeginger

No 574528, Working Papers of Department of Decision Sciences and Information Management, Leuven from KU Leuven, Faculty of Economics and Business (FEB), Department of Decision Sciences and Information Management, Leuven

Abstract: Scientific conferences have become an essential part of academic research and require significant investments (e.g. time and money) from their participants. It falls upon the organizers to develop a schedule that allows the participants to attend the talks of their interest. We present a combined approach of assigning talks to rooms and time slots, grouping talks into sessions, and deciding on an optimal itinerary for each participant. Our goal is to maximize attendance, taking into account the common practice of session hopping. On a secondary level, we accommodate presenters’ availabilities. We use a hierarchical optimization approach, sequentially solving integer programming models, which has been applied to construct the schedule of the MathSport (2013), MAPSP (2015) and ORBEL (2017) conferences.

Keywords: Conference scheduling; Computational complexity; Case study; Integer programming (search for similar items in EconPapers)
Date: 2017-03
New Economics Papers: this item is included in nep-cmp
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Published in FEB Research Report KBI_1704

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