Route planning in a new tourist recommender system: A fireworks algorithm based approach

Hui Ding; Liangjun Ke; Zihao Geng

doi:10.1109/CEC.2016.7744300

Route planning in a new tourist recommender system: A fireworks algorithm based approach

Hui Ding
, Liangjun Ke
, Zihao Geng

Faculty of Electronic and Information Engineering

Xi'an Jiaotong University
Beijing Jiaotong University

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

12 Scopus citations

Abstract

With the development of online tourist, Tourist Recommender System (TRS) has become a hot research topic. This paper presents a TRS and considers a new tourist trip design problem (TTDP), taking into account the compactness of the trip. To solve this problem, fireworks algorithm (FWA) is adopted. As a meta-heuristic method, FWA has been widely used in continuous problems, while TTDP is a discrete optimization problem with various constraints, the key difference between them lies in the definition of distance. In this paper, operators of the conventional FWA are redesigned to handle with TTDP. Experimental results demonstrate the effectiveness of the proposed FWA.

Original language	English
Title of host publication	2016 IEEE Congress on Evolutionary Computation, CEC 2016
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	4022-4028
Number of pages	7
ISBN (Electronic)	9781509006229
DOIs	https://doi.org/10.1109/CEC.2016.7744300
State	Published - 14 Nov 2016
Event	2016 IEEE Congress on Evolutionary Computation, CEC 2016 - Vancouver, Canada Duration: 24 Jul 2016 → 29 Jul 2016

Publication series

Name	2016 IEEE Congress on Evolutionary Computation, CEC 2016

Conference

Conference	2016 IEEE Congress on Evolutionary Computation, CEC 2016
Country/Territory	Canada
City	Vancouver
Period	24/07/16 → 29/07/16

Keywords

Fireworks algorithm
TTDP
Tourism recommendation

Access to Document

10.1109/CEC.2016.7744300

Cite this

Ding, H., Ke, L., & Geng, Z. (2016). Route planning in a new tourist recommender system: A fireworks algorithm based approach. In 2016 IEEE Congress on Evolutionary Computation, CEC 2016 (pp. 4022-4028). Article 7744300 (2016 IEEE Congress on Evolutionary Computation, CEC 2016). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CEC.2016.7744300

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title = "Route planning in a new tourist recommender system: A fireworks algorithm based approach",

abstract = "With the development of online tourist, Tourist Recommender System (TRS) has become a hot research topic. This paper presents a TRS and considers a new tourist trip design problem (TTDP), taking into account the compactness of the trip. To solve this problem, fireworks algorithm (FWA) is adopted. As a meta-heuristic method, FWA has been widely used in continuous problems, while TTDP is a discrete optimization problem with various constraints, the key difference between them lies in the definition of distance. In this paper, operators of the conventional FWA are redesigned to handle with TTDP. Experimental results demonstrate the effectiveness of the proposed FWA.",

keywords = "Fireworks algorithm, TTDP, Tourism recommendation",

author = "Hui Ding and Liangjun Ke and Zihao Geng",

note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 2016 IEEE Congress on Evolutionary Computation, CEC 2016 ; Conference date: 24-07-2016 Through 29-07-2016",

year = "2016",

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day = "14",

doi = "10.1109/CEC.2016.7744300",

language = "英语",

series = "2016 IEEE Congress on Evolutionary Computation, CEC 2016",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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booktitle = "2016 IEEE Congress on Evolutionary Computation, CEC 2016",

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Ding, H, Ke, L & Geng, Z 2016, Route planning in a new tourist recommender system: A fireworks algorithm based approach. in 2016 IEEE Congress on Evolutionary Computation, CEC 2016., 7744300, 2016 IEEE Congress on Evolutionary Computation, CEC 2016, Institute of Electrical and Electronics Engineers Inc., pp. 4022-4028, 2016 IEEE Congress on Evolutionary Computation, CEC 2016, Vancouver, Canada, 24/07/16. https://doi.org/10.1109/CEC.2016.7744300

Route planning in a new tourist recommender system: A fireworks algorithm based approach. / Ding, Hui; Ke, Liangjun; Geng, Zihao.
2016 IEEE Congress on Evolutionary Computation, CEC 2016. Institute of Electrical and Electronics Engineers Inc., 2016. p. 4022-4028 7744300 (2016 IEEE Congress on Evolutionary Computation, CEC 2016).

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

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AU - Ding, Hui

AU - Ke, Liangjun

AU - Geng, Zihao

PY - 2016/11/14

Y1 - 2016/11/14

N2 - With the development of online tourist, Tourist Recommender System (TRS) has become a hot research topic. This paper presents a TRS and considers a new tourist trip design problem (TTDP), taking into account the compactness of the trip. To solve this problem, fireworks algorithm (FWA) is adopted. As a meta-heuristic method, FWA has been widely used in continuous problems, while TTDP is a discrete optimization problem with various constraints, the key difference between them lies in the definition of distance. In this paper, operators of the conventional FWA are redesigned to handle with TTDP. Experimental results demonstrate the effectiveness of the proposed FWA.

AB - With the development of online tourist, Tourist Recommender System (TRS) has become a hot research topic. This paper presents a TRS and considers a new tourist trip design problem (TTDP), taking into account the compactness of the trip. To solve this problem, fireworks algorithm (FWA) is adopted. As a meta-heuristic method, FWA has been widely used in continuous problems, while TTDP is a discrete optimization problem with various constraints, the key difference between them lies in the definition of distance. In this paper, operators of the conventional FWA are redesigned to handle with TTDP. Experimental results demonstrate the effectiveness of the proposed FWA.

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KW - Tourism recommendation

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PB - Institute of Electrical and Electronics Engineers Inc.

Y2 - 24 July 2016 through 29 July 2016

ER -

Route planning in a new tourist recommender system: A fireworks algorithm based approach

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