||(事前公開アブストラクト) In Wireless Rechargeable Sensor Networks(WRSNs), the sensor node is responsible for sensing the environment and creating sensing data, the mobile charger (MC) plays a role in recharging the sensors and collecting sensing data into the sink. Sensor nodes can obtain power from the wireless charger to recharge the battery in WRSNs and help it operate sustainably. This process allows the sensor battery to be charged when needed and maintains the continuous operation of the network because the MC can provide a reliable and stable source for the sensor nodes in the limited charge range. Based on this technique, we propose a new destination scheduling method for the MC. In this method, we use Genetic Algorithms (GA) to find the best route of energy charging point to replenish power for sensor nodes. We conduct some simulations to investigate the outcome and effectiveness in compare with the previous method in term of energy saving. The simulation results show that our proposed method brings positive performance with improved the lifetime of network, the cost moving of MC and rates of charging sensor than previous method.