Cutting_Edge Hybrid Algorithms: Pelican Optimization Leveraging Conjugate Gradient and Osprey Techniques

Abstract

This study investigates the performance improvement method of Pelican Optimization Algorithm (POA) through two different methods, namely Conjugate Gradient (CG) and Osprey Optimization Algorithm (OOA). The (POA) algorithm is a super-intuitive algorithm that has the ability to solve complex optimization problems. It has a distinctive exploration ability, but it has some problems in finding the solution accurately and quickly through the exploitation method. Therefore, (POA) was improved by exploiting the (CG) algorithm, which is included as an initial community for the (POA) algorithm in the first hybridization, which caused a simple improvement coupled with the original (POA) results. (POA) was hybridized by using the exploitation method of the (OOA) algorithm, which has proven its strength in finding the optimal solution accurately and quickly through the results, which were compared based on important measures such as the convergence rate, solution quality, and convergence speed shown through the graph, and the performance was evaluated through some global test functions. This new approach can be used in many scientific applications and fields such as economics, engineering, medicine, and biological sciences.