Wireless Mesh Networks (WMNs) are efficient networks due to their high robustness and rapid deployment capabilities. But they face some challenges such as network congestion, interference, reduced data transfer rates, packet losses, and increased latency. The optimization of mesh router placement is a good approach to solving these problems. However, finding the best location of mesh routers in the considered area is classified as an NP-hard problem. To deal with this problem, we propose and develop two intelligent simulation systems based on Cuckoo Search (CS) and Particle Swarm Optimization (PSO), called WMN-CS and WMN-PSO, respectively In this study, we compare the performance of WMN-CS and WMN-PSO systems for a small-scale WMN. The simulation results show that WMN-CS performs better and converges faster than WMN-PSO in the considered scenario.