Wireless Mesh Networks (WMNs) are attracting a lot of attention from wireless network researchers. Node placement problems have been investigated for a long time in the optimization field due to numerous applications in location science. In our previous work, we evaluated WMN-GA system which is based on Genetic Algorithms (GAs) to find an optimal location assignment for mesh routers. In this paper, we evaluate the performance of four different distributions of mesh clients considering Packet Delivery Ratio (PDR), throughput and delay metrics. For simulations, we used ns-3 and Hybrid Wireless Mesh Protocol (HWMP). We compare the performance of the optimized network component for Normal, Uniform, Exponential and Weibull distributions of mesh clients by sending multiple Constant Bit Rate (CBR) flows in the network. The simulation results show that for Normal distribution, all mesh routers are concentrated in the center of grid and the communication becomes easy. On the other hand, for Uniform distribution the mesh routers are more scattered, the creating of links is more difficult and the communication can be done only with multiple hops. The increase of number of connections, increases the traffic data rate and the network load causing a decrease of the average PDR and throughput. When the number of mesh routers is increased the number of hops increases and PDR decreases. Also, for Weibull distribution, when the number of mesh routers is increased the number of hops increases and PDR decreases. When there are 35 mesh routers in the network with 10 connections, the PDR is higher compared with other cases. For Exponential distribution, the throughput is higher for small number of mesh routers. On the other hand, for Weibull distribution, when there are 20 connections, with the increase of the number of mesh routers the throughput is decreased much more than the case of Exponential distribution. The delay is almost the same for Exponential and Weibull distributions.