Wireless Mesh Networks (WMNs) are recognized as good and diverse networking applications due to their robustness and rapid deployment potential. Nevertheless, these networks have challenges such as congestion, interference, reduced throughput, packet loss, and increased latency. The optimal placement of mesh routers plays a pivotal role in mitigating these issues. However, identifying the optimal router locations is computationally intractable and is considered an NP-hard problem. To solve this problem, we propose and implement an intelligent simulation framework based on Cuckoo Search (CS) algorithm named WMN-CS. This study evaluates the performance of WMNs using the WMN-CS system considering load balancing among mesh routers measured by Load Difference (LD) metric and a middle scale WMN. Simulation results demonstrate that the proposed system minimize the LD while maintaining good network connectivity and client coverage.