Tourist Trip Design Problem: A Meta Analysis
Optimization techniques for the Tourist Trip Design Problem:
A Meta-Analysis
A. Vashishth and M.S. Gajanand
Operations Management and Quantitative Techniques, Indian Institute of Management Trichy, Tamil Nadu, India
EXTENDED ABSTRACT
Over the decades, tourism has experienced continued growth and deepening diversification to become one of the fastest growing economic sectors in the world. Modern tourism is closely linked to development and encompasses growing number of new destinations. These dynamics have turned tourism into a key driver for socio-economic progress (UNWTO, 2015).
With the emergence of the internet, a new type of tourists is emerging: they become their own travel agent and build their travel packages themself (Hannes, 2003). Such tourists have many decisions to make while planning a tour to the
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c) The OP (Tsiligirides, 1984) seeks for a tour that maximizes the total collected profit converting travel cost objective into a constraint with an upper bound.
B. MULTIPLE TOUR TTDP VARIANTS: These problems aim at finding multiple tours based upon the number of days the tourist’s visit will last. Multiple tours TTDP variant can be modeled using extension of TSPP to multiple tours known as Vehicle Routing Problem with Profits (VRPP). VRPP is a variant of classical VRP where visiting the whole set of nodes is not compulsory; a profit is collected when visiting a node, while the collection of the profits is distributed over several vehicles with capacity constraint. Known variants of the VRPP are:
a) Team Orienteering Problem (TOP) which is the extension of the OP to multiple tours.
b) Prize-collecting VRP (PCVRP) where the objective is a linear combination of minimizing the total distance traveled, minimizing the vehicles used and maximizing the prizes collected (Tang and Wang,
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