This work proposes solving a bi-objective problem of planning tourist routes for multiple days, selecting the transport mode and multiple fuzzy constraints. The imprecise and non-strict constraints are time windows, the duration of the route and the budget available to the tourist.To find the optimal planning using two criteria: obtaining the most excellent satisfaction or benefit for the tourist and reducing CO 2 emissions. The problem is modeled as a Bi-objective Fuzzy Multi-Constraint Multi-Modal TOPTW and solve with a Variable Neighborhood Descent. This work contributes to the design of tourist routes with efficient use of transport modes, reducing trips, reducing CO 2 emissions, and favouring the use of less polluting transport.
CITATION STYLE
Ruiz-Meza, J., Brito, J., & Montoya-Torres, J. R. (2022). A VND to Solve the Bi-objective Tourist Trip Design Problem with Fuzzy Constraints and Reducing CO 2. In Studies in Computational Intelligence (Vol. 1036, pp. 221–234). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-97344-5_15
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