Energy is a critical issue in vehicle routing. UAV's or Drones have been the fundamental way in activities where a human has their limited skills to do. Drones save too much time in accomplishing such tasks. The growing usage of drones by commercial firms has contributed to developing a new Vehicle Routing Problem with Drones (VRPD). Self-driving cars and aircraft can be used to transfer packages from one place to another to customers. Vehicles and drones could have dependent or independent deliveries. A drone takes off from a vehicle for package delivery and then returns to the same vehicle after the delivery as long as the drone's energy restrictions are met. This paper tries to model the UAV's routing process to understand the problem clearly. Besides, the paper proposes a modified version of the Brainstorming algorithm to find the best routing for drones. Experiments are carried out in numerous environments and with various scenarios. The findings indicate the suggested algorithm to solve the drone routing problem is much effective with 70% enhancement than the random routing.