What does this research mean for the field?

The adaptive oppositional grey wolf optimizer (AOGWO) significantly outperforms existing metaheuristic algorithms on complex benchmark functions and real-world engineering design problems by overcoming premature convergence and elite stagnation. Novelty: ClaimNovelty.METHODOLOGICAL. Consensus alignment: ConsensusAlignment.NEUTRAL.

What question did this study set out to answer?

This research aims to enhance the grey wolf optimizer by addressing its limitations in exploration and convergence.

June 10, 2026Scientific ReportsOpen Access

An adaptive oppositional grey wolf optimizer for complex engineering problems

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Authors

OKOthman Waleed KhalidUniversiti Sains Malaysia NINor Ashidi Mat IsaUniversiti Sains Malaysia KAKarrar Mohsin AlwanMiddle Technical University

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Implication

Randomized trial evaluates AOGWO's performance in engineering design, suggesting improved optimization efficiency.

Key Points

This research aims to enhance the grey wolf optimizer by addressing its limitations in exploration and convergence.
Proposed the adaptive oppositional grey wolf optimizer (AOGWO) for optimization.
Integrated hybrid opposition-based learning for initial diversity in solutions.
Applied adaptive cosine control and Lévy flight perturbations to balance search phases.
AOGWO achieved the best mean performance on 24 out of 29 CEC2017 functions and all 12 CEC2022 functions.
Statistically significant improvements over competing algorithms (p < 0.05) as shown by the Wilcoxon signed-rank test.
Ranked first in performance for benchmark tests using the Friedman test.

Cite This Study

Khalid et al. (2026) studied this question.

synapsesocial.com/papers/6a28fe716f82f25be989bb45 https://doi.org/10.1038/s41598-026-53090-6

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An adaptive oppositional grey wolf optimizer for complex engineering problems

Discussion

Member takes

Implication

Key Points

Cite This Study

An adaptive oppositional grey wolf optimizer for complex engineering problems

Discussion

Member takes

Implication

Key Points

Cite This Study

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