2D ground area coverage is essential for various applications like rescue operation, ground target detection, agricultural inspection, etc. In order to successfully implement 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 effectiveness of the proposed work is measured by the proportion of both interior and exterior space that is covered.