A hybrid expert system, clustering and ant colony optimization approach for scheduling and routing problem in courier services

Author:

López-Santana Eduyn,Rodríguez-Vásquez William Camilo,Méndez-Giraldo Germán

Publisher

Growing Science

Subject

Industrial and Manufacturing Engineering

Cited by 10 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Risk and Weightage Based Route Prediction System Using Machine Learning: A Review;2022 International Interdisciplinary Conference on Mathematics, Engineering and Science (MESIICON);2022-11-11

2. A Framework for a Holistic Information System for Small-Medium Logistics Enterprises;2022 17th International Workshop on Semantic and Social Media Adaptation & Personalization (SMAP);2022-11-03

3. loT system for the validation of conditions in shipping couriers;2022 IEEE 28th International Conference on Engineering, Technology and Innovation (ICE/ITMC) & 31st International Association For Management of Technology (IAMOT) Joint Conference;2022-06-19

4. A fitness sharing based ant clustering method for multimodal optimization of the aircraft longitudinal automatic carrier landing system;Aerospace Science and Technology;2022-03

5. Machine learning at the service of meta-heuristics for solving combinatorial optimization problems: A state-of-the-art;European Journal of Operational Research;2022-01

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