AN ADAPTIVE MULTIFACTORIAL EVOLUTIONARY ALGORITHM FOR INTER-DOMAIN PATH COMPUTATION UNDER NODEDEFINED DOMAIN UNIQUENESS CONSTRAINT
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Received: 22/02/22                Revised: 20/04/22                Published: 21/04/22Abstract
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[1] T. T. B. Huynh, B. T. Ta, B. L. Nguyen, V. H. Nguyen, and D. T. Pham, “Multifactorial Evolutionary Algorithm for Inter-Domain Path Computation under Domain Uniqueness Constraint,” in 2020 IEEE Congress on Evolutionary Computation (CEC), 2020, pp. 1-8.
[2] F. Paolucci, F. Cugini, A. Giorgetti, N. Sambo, and P. Castoldi, “A survey on the path computation element (PCE) architecture,” IEEE Commun. Surv. Tutor., vol. 15, no. 4, pp. 1819-1841, 2013.
[3] D. King and A. Farrel, “The Application of the Path Computation Element Architecture to the Determination of a Sequence of Domains in MPLS and GMPLS,” IETF RFC 6805, 2012.
[4] L. Maggi, J. Leguay, J. Cohen, and P. Medagliani, “Domain clustering for inter‐domain path computation speed‐up,” Networks, vol. 71, no. 3, pp. 252-270, 2018.
[5] T. Bäck, D. B. Fogel, and Z. Michalewicz, Evolutionary computation 1: Basic algorithms and operators. CRC press, 2018.
[6] E. Agoston and Eiben, Introduction to Evolutionary Computing. Berlin, Springer-Verlag, 2003.
[7] K. K. Bali, Y. -S. Ong, A. Gupta, and P. S. Tan, “Multifactorial Evolutionary Algorithm with Online Transfer Parameter Estimation: MFEA-II,” IEEE Trans. Evol. Comput., vol. 24, no. 1, pp. 69-83, 2019.
[8] E. Osaba, A. D. Martinez, A. Galvez, A. Iglesias, and J. D. Ser, “dMFEA-II: An adaptive multifactorial evolutionary algorithm for permutation-based discrete optimization problems,” in Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion, 2020, pp. 1690-1696.
[9] T. A. Do, H. L. Nguyen, B. T. Ta, T. T. B. Huynh, and S. Su, “A two-level strategy based on evolutionary algorithm to solve the inter-domain path computation under node-defined domain uniqueness constraint,” in Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications III, 2021, vol. 11746, p. 1174620.
[10] T. T. B. Huynh, H. L. Nguyen, B. T. Ta, and S. Simon, “A Two-level Genetic Algorithm for Inter-domain Path Computation under Node-defined Domain Uniqueness Constraints,” in 2021 IEEE Congress on Evolutionary Computation (CEC), 2021, pp. 87-94.
[11] Y. Yuan, Y. -S. Ong, A. Gupta, P. S. Tan, and H. Xu, “Evolutionary multitasking in permutation-based combinatorial optimization problems: Realization with TSP, QAP, LOP, and JSP,” in Region 10 Conference (TENCON), 2016 IEEE, 2016, pp. 3157-3164.
[12] L. Zhou, L. Feng, J. Zhong, Y.-S. Ong, Z. Zhu, and E. Sha, “Evolutionary Multitasking in Combinatorial Search Spaces: A Case Study in Capacitated Vehicle Routing Problem”, In 2016 IEEE Symposium Series on Computational Intelligence (SSCI), 2016, pp. 1-8.
[13] D. T. Pham, B. T. Ta, V. H. Ngo, and T. A. Do, “Inter-Domain Path Computation under Node-defined Domain Uniqueness Constraint Insances,” Mendeley Data, 2022, doi: 10.17632/tpg2nbcsc5.2.
[14] J. -C. Chen, “Dijkstra’s shortest path algorithm,” J. Formaliz. Math., vol. 15, no. 9, pp. 237-247, 2003.
DOI: https://doi.org/10.34238/tnu-jst.5579
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