Combine deep learning and LKH algorithm to solve multiconstraint tourism planning

Ling Zhong; Shibo Lin

doi:10.1117/12.3034942

11 July 2024 Combine deep learning and LKH algorithm to solve multiconstraint tourism planning

Ling Zhong, Shibo Lin

Proceedings Volume 13210, Third International Symposium on Computer Applications and Information Systems (ISCAIS 2024); 1321013 (2024) https://doi.org/10.1117/12.3034942
Event: Third International Symposium on Computer Applications and Information Systems (ISCAIS 2023), 2024, Wuhan, China

Abstract

Multi-constraint travel route planning is a challenging problem, which involves multiple constraints such as transportation, time, cost and traveler preference. In recent years, the development of deep learning technology has provided new possibilities to solve this problem. In this paper, a method combining deep learning and LKH algorithm is proposed to solve the multi-constraint tourism planning. First, we collect tourism data, including scenic spot information, transportation information and traveler preferences. Then, we trained the tourism data using deep learning models, such as neural networks, to learn the correlations between attractions and traveler preferences. We designed a multi-task learning model that can simultaneously predict multiple constraints such as travel time, distance, cost, etc. Finally, we apply the LKH algorithm to the output of the deep learning model to obtain the optimal travel route. Experimental results show that our method can efficiently generate travel routes that meet travelers' needs under multiple constraints. This study provides a new solution for multi- constraint travel planning, and also provides a practical application case for the combination of deep learning and traditional algorithms.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Ling Zhong and Shibo Lin "Combine deep learning and LKH algorithm to solve multiconstraint tourism planning", Proc. SPIE 13210, Third International Symposium on Computer Applications and Information Systems (ISCAIS 2024), 1321013 (11 July 2024); https://doi.org/10.1117/12.3034942

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
6 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Deep learning

Education and training

Evolutionary algorithms

Mathematical optimization

Matrices

Genetic algorithms

Data modeling

Show All Keywords

Keywords/Phrases

Search In:

Publication Years