Research on urban rail line planning methods for smart cities based on big data and forbidden search algorithm-Reference-Cited by-同舟云学术

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Research on urban rail line planning methods for smart cities based on big data and forbidden search algorithm

Published:2023-09-15 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE 7th Information Technology and Mechatronics Engineering Conference (ITOEC)
language:
Short-container-title:

Author:

Li Jiaying¹,Ma Zhichen²,Yang Dan³,Fu Future³

Affiliation:

1. Northwest Agriculture & Forestry University,Collage of Landscape Architecture and Art,Shaanxi,China

2. Northwest Agriculture & Forestry University,College of Mechanical and Electronic Engineering,Shaanxi,China

3. Northwest Agriculture & Forestry University,Shaanxi,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10291176/10291182/10291782.pdf?arnumber=10291782

Reference15 articles.

1. A multi-objective approach for DRT service using tabu search - ScienceDirect[J];mt;Transportation Research Procedia,2021

2. Mining Sports Articles using Cuckoo Search and Tabu Search with SMOTE Preprocessing Technique

3. AHybrid Algorithm Based on State-Adaptive Slime Mold Model and Fractional-Order Ant System for the Travelling Salesman Problem;gong;Complex & Intelligent Systems,2023

4. Optimization of Urban Rail Transit Layout Planning Based on Livability [J];lu;Computer Simulation,2021

5. An analysis of tripadvisor reviews of 127 urban rail transit networks worldwide

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