Optimal selection of touristic packages based on user preferences during sports mega-events

Sport mega-events, such as the Soccer World Cup or Olympic Games, attract many visitors from all over world. Most of these are also interested in, besides attending sports events, visiting host nation and neighboring countries. In this paper, we focus on upcoming FIFA Qatar 2022. As per schedule tournament, a national team can play 7 matches at most. Therefore, supporter will have six short breaks (of three to five days) between consecutive in addition two longer ones, immediately before after during which they plan some touristic trips. We study problem faced by trip provider who wants offer set packages, chosen among very large options, devoted World-Cup related tourists. The number packages offered must be limited due organizational reasons necessity guarantee high participation each trip. study, user profiles is considered. It represents different categories tourists, characterized preferences budgets. Each supposed pick that maximize their satisfaction, considering budget time restraints. goal company choose would average users satisfaction. To address NP-Hard combinatorial optimization provide mathematical formulation matheuristic, named Consensus-Based Kernel Search (CKS), wherein an alternative rule used create initial partition variables buckets. Computational results evidence excellent performance CKS prove newly introduced algorithm systematically outperforms classical Search.