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Evaluation of WMN-GA for Different Mutation and Crossover Rates Considering Giant Component parameter.

, , , , , and . J. Interconnect. Networks, 12 (3): 205-219 (2011)

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WMN-GA: a simulation system for WMNs and its evaluation considering selection operators., , , , , and . J. Ambient Intell. Humaniz. Comput., 4 (3): 323-330 (2013)Performance Evaluation of WMNs Using WMN-PSOHC-DGA Considering Evolution Steps and Computation Time., , , , and . EIDWT, volume 47 of Lecture Notes on Data Engineering and Communications Technologies, page 127-137. Springer, (2020)A Load Balancing Aware Intelligent Hybrid Simulation System for WMNs Considering Different Number of Mesh Routers: A Comparison Study for Uniform and Exponential Distributions of Mesh Clients., , , , , and . CISIS, volume 1194 of Advances in Intelligent Systems and Computing, page 31-44. Springer, (2020)Design and evaluation of algorithms for obtaining objective trustworthiness on acquaintances in P2P overlay networks., , , , and . Int. J. Grid Util. Comput., 2 (3): 196-203 (2011)A study on the performance of local search versus population-based methods for mesh router nodes placement problem., , , and . J. Intell. Manuf., 23 (6): 2057-2067 (2012)Effects of population size for location-aware node placement in WMNs: evaluation by a genetic algorithm-based approach., , , , , and . Pers. Ubiquitous Comput., 18 (2): 261-269 (2014)WMN-PSODGA - An Intelligent Hybrid Simulation System for WMNs Considering Load Balancing: A Comparison for Different Client Distributions., , , , , and . Int. J. Distributed Syst. Technol., 11 (4): 39-52 (2020)Node placement for wireless mesh networks: Analysis of WMN-GA system simulation results for different parameters and distributions., , , , , and . J. Comput. Syst. Sci., 81 (8): 1496-1507 (2015)Evaluation of struggle strategy in Genetic Algorithms for ground stations scheduling problem., , , , and . J. Comput. Syst. Sci., 79 (7): 1086-1100 (2013)WMN-PSODGA hybrid intelligent simulation system and its web GUI tool: performance evaluation considering different parameters of genetic algorithm., and . Int. J. Web Grid Serv., 18 (2): 213-228 (2022)