With the help of the recently created met heuristic algorithms Jaya Algorithm and Improved Cuckoo Search Algorithm, numerous optimization algorithms are solved. We provide a novel technique in this paper called ICS-Jaya, which combines the Improved Cuckoo Search algorithm and the Jaya algorithm’s idea. The advantages of both approaches are combined in the ICS-Jaya algorithm. The training of feed forward neural networks for a single benchmark classification problem is then done using it. The outcomes of the suggested algorithm are then contrasted with those of the conventional improved cuckoo search.
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