Literature Review of Vehicles Routing Problems Using Metaheuristics: Prospects and Trends
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-97-3292-0_54
Reference10 articles.
1. Dokeroglu T, Sevinc E, Kucukyilmaz T, Cosar A (2019) A survey on new generation metaheuristic algorithms. Comput Ind Eng 137. https://doi.org/10.1016/j.cie.2019.106040
2. Sharma V, Tripathi AK (2022) A systematic review of meta-heuristic algorithms in IoT based application. Array 14. https://doi.org/10.1016/j.array.2022.100164
3. Hussain K, Mohd Salleh MN, Cheng S, Shi Y (2019) Metaheuristic research: a comprehensive survey. Artif Intell Rev 52(4):2191–2233. https://doi.org/10.1007/s10462-017-9605-z
4. Balderas D, Ortiz A, Méndez E, Ponce P, Molina A (2021) Empowering digital twin for industry 4.0 using metaheuristic optimization algorithms: case study PCB drilling optimization. Intern J Adv Manufact Technol 113(5–6):1295–1306. https://doi.org/10.1007/s00170-021-06649-8
5. Djebedjian B, Abdel-Gawad HAA, Ezzeldin RM (2021) Global performance of metaheuristic optimization tools for water distribution networks. Ain Shams Eng J 12(1):223–239. https://doi.org/10.1016/j.asej.2020.07.012
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