@misc{10818/60193,
year = {2022},
url = {http://hdl.handle.net/10818/60193},
abstract = {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. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.},
publisher = {Studies in Computational Intelligence},
title = {A VND to Solve the Bi-objective Tourist Trip Design Problem with Fuzzy Constraints and Reducing CO 2},
doi = {10.1007/978-3-030-97344-5_15},
author = {Ruiz-Meza J. and Brito J. and Montoya-Torres J.R.},
}