A VND to Solve the Bi-objective Tourist Trip Design Problem with Fuzzy Constraints and Reducing CO 2

José Ruiz-Meza; Julio Brito; Jairo R. Montoya-Torres

doi:10.1007/978-3-030-97344-5_15

A VND to Solve the Bi-objective Tourist Trip Design Problem with Fuzzy Constraints and Reducing CO ₂

José Ruiz-Meza
, Julio Brito
, Jairo R. Montoya-Torres

Universidad de la Sabana
University of La Laguna

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

2 Scopus citations

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.

Original language	English
Title of host publication	Studies in Computational Intelligence
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	221-234
Number of pages	14
ISBN (Print)	1860949X
DOIs	https://doi.org/10.1007/978-3-030-97344-5_15
State	Published - 2022

Publication series

Name	Studies in Computational Intelligence
Volume	1036
ISSN (Print)	1860-949X
ISSN (Electronic)	1860-9503

Strategic Focuses

Sociedad Digital y Competitividad (SocietalIA)

Access to Document

10.1007/978-3-030-97344-5_15

Cite this

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 (pp. 221-234). (Studies in Computational Intelligence; Vol. 1036). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-97344-5_15

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title = "A VND to Solve the Bi-objective Tourist Trip Design Problem with Fuzzy Constraints and Reducing CO 2",

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.",

author = "Jos{\'e} Ruiz-Meza and Julio Brito and Montoya-Torres, \{Jairo R.\}",

note = "Publisher Copyright: {\textcopyright} 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.",

year = "2022",

doi = "10.1007/978-3-030-97344-5\_15",

language = "Ingl{\'e}s",

isbn = "1860949X",

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pages = "221--234",

booktitle = "Studies in Computational Intelligence",

address = "Alemania",

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A VND to Solve the Bi-objective Tourist Trip Design Problem with Fuzzy Constraints and Reducing CO ₂. / Ruiz-Meza, José; Brito, Julio; Montoya-Torres, Jairo R.
Studies in Computational Intelligence. Springer Science and Business Media Deutschland GmbH, 2022. p. 221-234 (Studies in Computational Intelligence; Vol. 1036).

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

TY - CHAP

T1 - A VND to Solve the Bi-objective Tourist Trip Design Problem with Fuzzy Constraints and Reducing CO 2

AU - Ruiz-Meza, José

AU - Brito, Julio

AU - Montoya-Torres, Jairo R.

PY - 2022

Y1 - 2022

N2 - 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.

AB - 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.

UR - https://www.scopus.com/pages/publications/85128616794

U2 - 10.1007/978-3-030-97344-5_15

DO - 10.1007/978-3-030-97344-5_15

M3 - Capítulo de libro resultado de investigación

AN - SCOPUS:85128616794

SN - 1860949X

T3 - Studies in Computational Intelligence

SP - 221

EP - 234

BT - Studies in Computational Intelligence

PB - Springer Science and Business Media Deutschland GmbH

ER -

A VND to Solve the Bi-objective Tourist Trip Design Problem with Fuzzy Constraints and Reducing CO ₂

Abstract

Publication series

Strategic Focuses

Access to Document

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Diseño de rutas turísticas con enfoque multi-objetivo bajo incertidumbre

Cite this

A VND to Solve the Bi-objective Tourist Trip Design Problem with Fuzzy Constraints and Reducing CO 2

Abstract

Publication series

Strategic Focuses

Access to Document

Other files and links

Fingerprint

Projects

Diseño de rutas turísticas con enfoque multi-objetivo bajo incertidumbre

Cite this

A VND to Solve the Bi-objective Tourist Trip Design Problem with Fuzzy Constraints and Reducing CO ₂