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September 10, 2025UHD Journal of Science and TechnologyOpen Access

Enhancing Pelican Optimization Algorithm with Differential Evolution: A Novel Hybrid Metaheuristic Approach

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Authors

RHRebin Abdulkareem HamaaminOAOmar Mohammed Amin AliSulaimani Polytechnic University

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Implication

Novel hybrid metaheuristic method improves solution efficiency in complex optimization tasks, indicating better stability with POA-DE.

Key Points

  • Proposed method improves overall efficiency and convergence speed in optimization tasks.
  • The hybrid POA-DE method combines the global search benefits of pelican optimization and differential evolution.
  • Intensive empirical tests on benchmark functions show superior performance over the basic pelican optimization algorithm.
  • Highlights the significance of hybrid optimization techniques in enhancing meta-heuristic algorithms.

Cite This Study

Hamaamin et al. (2025) studied this question.

synapsesocial.com/papers/68c23d3ab210217d6478c3b7https://doi.org/10.21928/uhdjst.v9n2y2025.pp101-114
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