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Design and Implementation of a Hybrid Intelligent System Based on Particle Swarm Optimization, Hill Climbing and Distributed Genetic Algorithm for Node Placement Problem in WMNs: A Comparison Study.

, , , and . AINA, page 678-685. IEEE Computer Society, (2018)

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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)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 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)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)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)Performance Analysis of WMNs by WMN-PSOHC-DGA Simulation System Considering Random Inertia Weight and Linearly Decreasing Vmax Router Replacement Methods., , , , and . CISIS, volume 993 of Advances in Intelligent Systems and Computing, page 13-21. Springer, (2019)A Hybrid Simulation System Based on Particle Swarm Optimization and Distributed Genetic Algorithm for WMNs: Performance Evaluation Considering Normal and Uniform Distribution of Mesh Clients., , , and . NBiS, volume 22 of Lecture Notes on Data Engineering and Communications Technologies, page 42-55. Springer, (2018)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)