2D ground area coverage is essential for various applications like rescue operation, ground target detection, agricultural inspection, etc. In order to implement successfully the above-mentioned applications, researchers have used Unmanned Aerial Vehicles (UAVs) for the ground area coverage. UAVs equipped with visual sensors are extensively used in various coverage applications. The performance of the coverage applications is dependent on maximum target area inspection which leads to an optimization problem. For any optimization problem, researchers have used various metaheuristic approaches. For the proposed work, authors have considered the maximization of a 2D target area coverage using a single UAV system through the optimization approaches as Particle Swarm Optimization (PSO), Genetic Algorithm (GA) and Cuckoo Optimization Algorithm (COA). The performance of the proposed work is evaluated in terms of the percentages of actual area coverage and exterior area coverage.