  The paper proposes a novel nature-inspired technique of optimization. It
mimics the perching nature of eagles and uses mathematical formulations to
introduce a new addition to metaheuristic algorithms. The nature of the
proposed algorithm is based on exploration and exploitation. The proposed
algorithm is developed into two versions with some modifications. In the first
phase, it undergoes a rigorous analysis to find out their performance. In the
second phase it is benchmarked using ten functions of two categories; uni-modal
functions and multi-modal functions. In the third phase, we conducted a
detailed analysis of the algorithm by exploiting its controlling units or
variables. In the fourth and last phase, we consider real world optimization
problems with constraints. Both versions of the algorithm show an appreciable
performance, but analysis puts more weight to the modified version. The
competitive analysis shows that the proposed algorithm outperforms the other
tested metaheuristic algorithms. The proposed method has better robustness and
computational efficiency.
