A Hybrid Intelligent Simulation System for Node Placement in WMNs: A Comparison Study of Chi-Square and Uniform Distributions of Mesh Clients for CM and LDVM Router Replacement Methods
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Springer International Publishing
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https://link.springer.com/content/pdf/10.1007/978-3-030-84913-9_11
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3. Barolli, A., Sakamoto, S., Barolli, L., Takizawa, M.: Performance analysis of simulation system based on particle swarm optimization and distributed genetic algorithm for WMNs considering different distributions of mesh clients. In: Barolli, L., Xhafa, F., Javaid, N., Enokido, T. (eds.) IMIS 2018. AISC, vol. 773, pp. 32–45. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-93554-6_3
4. Barolli, A., Sakamoto, S., Ozera, K., Barolli, L., Kulla, E., Takizawa, M.: Design and implementation of a hybrid intelligent system based on particle swarm optimization and distributed genetic algorithm. In: Barolli, L., Xhafa, F., Javaid, N., Spaho, E., Kolici, V. (eds.) EIDWT 2018. LNDECT, vol. 17, pp. 79–93. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-75928-9_7
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