JOURNAL OF SHANDONG UNIVERSITY(NATURAL SCIENCE) ›› 2025, Vol. 60 ›› Issue (9): 52-61.doi: 10.6040/j.issn.1671-9352.0.2024.024

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A pelican optimization algorithm based on hybrid strategy

LIU Weiyan, QI Ji*, LIANG Hong, LIN Yuchuan   

  1. College of Communication and Electronic Engineering, Qiqihar University, Qiqihar 161006, Heilongjiang, China
  • Published:2025-09-10

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Abstract: In order to improve the optimization performance and stability of the pelican optimization algorithm, a hybrid strategy-based pelican optimization algorithm is proposed. In the generation mechanism of candidate solutions for the pelican algorithm, the preference weight strategy is employed to guide the candidate solutions towards exploring diversity. A random search strategy is used to update partial alternative solution positions, which helps these candidate solutions with poor objective function values escape local optima. A large-range adaptive search radius strategy has been applied to enhance the algorithm, increasing the probability for each candidate solution to discover better solutions. Combined with comparative algorithms, optimization experiments are conducted on 18 test functions. The optimization results are analyzed and Wilcoxon rank sum tests are performed to verify that this improved Pelican optimization algorithm has better optimization performance and stability.

Key words: pelican optimization algorithm, hybrid strategy, preference weight, function optimization

CLC Number: 

  • TP301
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