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<p>Optimization methods are fundamental across numerous scientific and engineering disciplines. This study presents the Pelican Optimization Algorithm with Velocity Effect (VEPOA), an improved variant of the nature-inspired Pelican Optimization Algorithm (POA). The proposed VEPOA accounts for wind velocity’s influence on pelicans’ hunting dynamics, thereby significantly improving the algorithm’s exploration-exploitation balance. To validate its effectiveness, VEPOA is benchmarked against 22 test functions, including unimodal, high dimensional, and fixed-dimensional multimodal functions. The proposed VEPOA algorithm outperforms the original POA, and two others modified POA variants (LTCMPOA and CIFPOA), achieving optimal values in 19 out of 22 functions and demonstrating a 42% reduction in Mean Absolute Error (MAE). The algorithm is further compared to seven popular algorithms in literature. The proposed VEPOA achieved 5 out of 6 best optimum values for unimodal functions, 4 out of 6 for high-dimensional functions and 8 out of 10 fixed-dimensional multimodal functions Furthermore, the proposed algorithm is employed to solve pressure vessel, string, and welded beam engineering design problems. Again, the proposed VEPOA produced the minimum design cost for all the design problems compared. These results highlight VEPOA’s robustness, faster convergence, and superior accuracy, establishing it as a promising optimization tool for engineering and other complex problem domains.</p>

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An improved Pelican Optimization Algorithm with velocity effect

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2026年7月8日

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  • Abena Sarpomaa Appiah,
  • Daniel Kwegyir,
  • Francis Boafo Effah,
  • Daniel Opoku,
  • Peter Asigri,
  • Emmanuel Kwaku Anto,
  • Nana Maryam Abdul-Bassit Munagah,
  • Kelvin Worlanyo Tamakloe

摘要

Optimization methods are fundamental across numerous scientific and engineering disciplines. This study presents the Pelican Optimization Algorithm with Velocity Effect (VEPOA), an improved variant of the nature-inspired Pelican Optimization Algorithm (POA). The proposed VEPOA accounts for wind velocity’s influence on pelicans’ hunting dynamics, thereby significantly improving the algorithm’s exploration-exploitation balance. To validate its effectiveness, VEPOA is benchmarked against 22 test functions, including unimodal, high dimensional, and fixed-dimensional multimodal functions. The proposed VEPOA algorithm outperforms the original POA, and two others modified POA variants (LTCMPOA and CIFPOA), achieving optimal values in 19 out of 22 functions and demonstrating a 42% reduction in Mean Absolute Error (MAE). The algorithm is further compared to seven popular algorithms in literature. The proposed VEPOA achieved 5 out of 6 best optimum values for unimodal functions, 4 out of 6 for high-dimensional functions and 8 out of 10 fixed-dimensional multimodal functions Furthermore, the proposed algorithm is employed to solve pressure vessel, string, and welded beam engineering design problems. Again, the proposed VEPOA produced the minimum design cost for all the design problems compared. These results highlight VEPOA’s robustness, faster convergence, and superior accuracy, establishing it as a promising optimization tool for engineering and other complex problem domains.