Optimizing Travel Itineraries: A Multi-Objective Machine Learning Model Approach-Reference-Cited by-同舟云学术

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Optimizing Travel Itineraries: A Multi-Objective Machine Learning Model Approach

Published:2024-06-05 Issue: Volume:4 Page:421-425
ISSN:
Container-title:2024 3rd International Conference on Applied Artificial Intelligence and Computing (ICAAIC)
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Author:

Roy X Samuel¹,Issac Titus¹,Terrance J Sebastian²

Affiliation:

1. Karunya Institute of Technology and Sciences,Department of Computer Science and Engineering,Coimbatore,Tamil Nadu,India

2. Karunya Institute of Technology and Sciences,Division of Artificial Intelligence and Machine Learning,Coimbatore,Tamil Nadu,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10574858/10574894/10575378.pdf?arnumber=10575378

Reference16 articles.

1. Multimodal transportation routing optimization based on multi-objective Q-learning under time uncertainty

2. Multimodal Transport Path Selection of Cold Chain Logistics Based on Improved Particle Swarm Optimization Algorithm

3. Smart travel assistant with itinerary planner using hybrid machine learning approach;Mariammal;International Research Journal of Modernization in Engineering Technology and Science

4. Regional multimodal logistics network design considering demand uncertainty and CO2 emission reduction target: A system-optimization approach

5. Multitask Emergency Logistics Planning under Multimodal Transportation

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