Iterated local search for the team orienteering problem with time windows

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Orienteering Problem: A survey of recent variants, solution approaches and applications (2016, methodology): “Modified instances ( Vansteenwegen et al., 2009 ) by adding a column for the resource requirements are used to demonstrate the computational time for solving the mathematical model using CPLEX 12.6.”
A survey on algorithmic approaches for solving tourist trip design problems (2014, methodology): “The proposed algorithm is based on ILS [129], incorporating two different aspects: (a) the feasibility check of visit insertions caters for checking constraints in addition to time feasibility; (b) the ratio function determining the candidate visit to be inserted is adapted so as to associate each a”
The orienteering problem: A survey (2011, methodology): “Nevertheless, it can be concluded that the ILS approach of Vansteenwegen et al. (2009d) has the advantage of being very quick and the approaches of Montemanni and Gambardella (2009) and Tricoire et al. (2010) have the advantage of obtaining high quality solutions.”
Mobile recommender systems in tourism (2014, background): “GUIDE [23] 2000 User constraints‐ based UCRS Routes among pairs of POIs and tours Accommodation booking User location, walking speed, places already visited, time, peak hours, user preferences Web‐based (mobile browser client) Deep Map [49] 2002 User constraints‐ based UCRS Tour planning Recommendat”