Optimization Strategy of Logistics Distribution Efficiency Based on Hybrid Ant Colony Algorithm
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-1428-9_54
Reference14 articles.
1. Calvin, J.M., Žilinskas, A.: On efficiency of a single variable bi-objective optimization algorithm. Optimization Letters 14(1), 259–267 (2019). https://doi.org/10.1007/s11590-019-01471-4
2. Ali, S.M., Arafin, A., Moktadir, M.A., Rahman, T., Zahan, N.: Barriers to reverse logistics in the computer supply chain using interpretive structural model. Glob. J. Flex. Syst. Manag. 19(1), 53–68 (2017). https://doi.org/10.1007/s40171-017-0176-2
3. Shakya, A., Mishra, M., Maity, D., Santarsiero, G.: Structural health monitoring based on the hybrid ant colony algorithm by using Hooke–Jeeves pattern search. SN Appl. Sci. 1(7), 1–14 (2019). https://doi.org/10.1007/s42452-019-0808-6
4. Tseng, H.E., Chang, C.C., Lee, S.C., Huang, Y.M.: Hybrid bidirectional ant colony optimization (hybrid BACO): an algorithm for disassembly sequence planning. Eng. Appl. Artif. Intell. 83, 45–56 (2019)
5. Speranza, M.G.: Trends in transportation and logistics. Eur. J. Oper. Res. 264(3), 830–836 (2018)
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