Energy limitations shorten the lifespan of sensor networks, making efficient power delivery a pressing concern. Wireless chargers offer a convenient solution by transmitting energy wirelessly. This research focuses on minimizing the number of chargers while maximizing the coverage of the sensors. Using the Golden Jackal Optimization Algorithm, which is inspired by the cooperative hunting strategies of golden jackals, the optimal placement of the charger is determined under specific constraints. The proposed approach outperforms traditional methods in terms of coverage and network efficiency. The findings highlight the potential of the Golden Jackal Optimization Algorithm to effectively solve the problem of placing wireless chargers in sensor networks.