The following publications are possibly variants of this publication:
- A Hybrid Simulation System Based on Particle Swarm Optimization and Distributed Genetic Algorithm for WMNs: Performance Evaluation Considering Normal and Uniform Distribution of Mesh ClientsAdmir Barolli, Shinji Sakamoto, Leonard Barolli, Makoto Takizawa 0001. nbis 2019: 42-55 [doi]
- Performance Analysis of WMNs by WMN-PSODGA Simulation System Considering Uniform Distribution of Mesh Clients and Different Router Replacement MethodsSeiji Ohara, Admir Barolli, Phudit Ampririt, Keita Matsuo, Leonard Barolli, Makoto Takizawa 0001. 3pgcic 2021: 397-409 [doi]
- Performance Evaluation of WMNs by WMN-PSODGA Simulation System Considering Exponential Distribution of Mesh Clients and Different Router Replacement MethodsSeiji Ohara, Admir Barolli, Phudit Ampririt, Keita Matsuo, Leonard Barolli, Makoto Takizawa 0001. incos 2021: 1-14 [doi]
- Performance Evaluation of WMNs by WMN-PSOHC Hybrid Simulation System Considering Different Number of Mesh Routers and Chi-Square Distribution of Mesh ClientsShinji Sakamoto, Yi Liu 0011, Leonard Barolli, Shusuke Okamoto. bwcca 2021: 14-24 [doi]
- Performance Evaluation of WMNs by WMN-PSOSA-DGA Hybrid Simulation System Considering Stadium Distribution of Mesh Clients and Different Number of Mesh RoutersAdmir Barolli, Shinji Sakamoto, Leonard Barolli, Makoto Takizawa 0001. cisis 2021: 100-109 [doi]
- Optimization of Number of Mesh Routers in WMNs Using WMN-SA System Considering Uniform Distribution for Different Number of Mesh ClientsShinji Sakamoto, Tetsuya Oda, Makoto Ikeda, Leonard Barolli, Santi Caballé, Fatos Xhafa. bwcca 2014: 133-138 [doi]