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

  • Xi'an Jiaotong University
  • Beijing Jiaotong University

科研成果: 书/报告/会议事项章节会议稿件同行评审

12 引用 (Scopus)

摘要

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.

源语言英语
主期刊名2016 IEEE Congress on Evolutionary Computation, CEC 2016
出版商Institute of Electrical and Electronics Engineers Inc.
4022-4028
页数7
ISBN(电子版)9781509006229
DOI
出版状态已出版 - 14 11月 2016
活动2016 IEEE Congress on Evolutionary Computation, CEC 2016 - Vancouver, 加拿大
期限: 24 7月 201629 7月 2016

丛书

姓名2016 IEEE Congress on Evolutionary Computation, CEC 2016

会议

会议2016 IEEE Congress on Evolutionary Computation, CEC 2016
国家/地区加拿大
Vancouver
时期24/07/1629/07/16

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