Modified Flower Pollination Algorithm for Global Optimization

In this paper, a modified flower pollination algorithm (MFPA) is proposed to improve the performance of classical and tackle nonlinear equation systems widely used in engineering science fields. addition, differential evolution (DE) integrated with MFPA strengthen its exploration operator new variant called HFPA. Those two algorithms were assessed using 23 well-known mathematical unimodal multimodal test functions 27 systems, obtained outcomes extensively compared those eight metaheuristic under various statistical analyses convergence curve. The experimental findings show that both HFPA are competitive together and, others, they could be superior for most cases.