Using Emperor Penguins Colony Algorithm (EPC) To Hybrid Archimedes Optimization Algorithm (AOA)To Solve Optimization Problems
Keywords:
Optimization, Intelligence Techniques, Swarm Intelligence, Heuristic Algorithms, Hybrid, Evolutionary Computation, AlgorithmsAbstract
This "research paper included the study of two intelligent algorithms, the Emperor Penguin Colony algorithm and the Archimedes optimization algorithm. A hybrid algorithm called AOA-EPC was proposed, which included improving the Archimedes algorithm based on the penguin algorithm by making the two algorithms work together to reach the best solutions. The solutions are enhanced through both algorithms. The results of the proposed hybrid algorithm were excellent. It can avoid falling into local solutions in addition to the accuracy of the results. It can also reach the optimal solution in record time. Moreover, it can find the best solutions with the least number of swarm elements. The steps of the proposed algorithm were created, as well as the flowchart for it. A table of the results we obtained and the optimal approximation for most functions used by measuring numerical optimization was displayed. Ten functions were addressed, which can be generalized to the rest of the other functions. This paves the way for applying this algorithm to any function that can be used in engineering, statistics and other science applications, as it is an excellent algorithm. The results of the proposed algorithm AOA-EPC were compared with both the AOA and EPC algorithms, and the numerical results showed the superiority of the hybrid" algorithm
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