Modified RK-EDA to Solve a Permutation-Based Spare Part Allocation Problem
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Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-030-89698-0_33
Reference9 articles.
1. Shakya, S., Lee, B.S., Cairano-Gilfedder, C.D., Owusu, G.: Spares parts optimization for legacy telecom networks using a permutation-based evolutionary algorithm. In: IEEE CEC (2017)
2. Alkaabi, N., Shakya, S., Gabor, A., Sluzek, A.S., Lee, B.-S., Owusu, G.: An application of EDA and GA for permutation based spare part allocation problem. In: Bramer, M., Ellis, R. (eds.) Artificial Intelligence XXXVII. SGAI 2020. LNCS, vol. 12498, pp. 393–399. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-63799-6_31
3. Lecture Notes in Computer Science;M Ayodele,2016
4. Bartz-Beielstein, T., Juergen, B., Jorn, M., Olaf, M.: Evolutionary algorithms. Wiley Interdisc. Rev. Data Mining Knowl. Discov. 4, 621–635 (2014). https://doi.org/10.1002/widm.1124
5. Matai, R., Singh, S., Mittal, M.L.: Traveling salesman problem: an overview of applications. Formulations Solution Approaches (2010). https://doi.org/10.5772/12909
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