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April 18, 2026Ain Shams Engineering JournalOpen Access

Baboon optimization algorithm: A novel nature-inspired metaheuristic algorithm for optimization problems

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BDBin Deng

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Overview

Novel metaheuristic BOA enhances optimization outcomes in engineering designs, suggesting practical efficiency benefits.

Key Points

  • The central aim is to propose and evaluate the Baboon Optimization Algorithm (BOA) for optimization tasks.
  • Proposing the Baboon Optimization Algorithm inspired by baboon social structures and behaviors.
  • Dividing populations into leader, adult, and juvenile layers for adaptive optimization.
  • Testing BOA on 23 classical optimization functions from CEC-2020 and CEC-2022 test suites.
  • Comparing BOA with ten other algorithms across numerous functions and engineering challenges.
  • BOA achieves strong results on unimodal functions, outperforming ten compared algorithms.
  • It secures the best outcomes on five of ten CEC-2020 functions and nine of twelve CEC-2022 functions.
  • Statistical analysis confirms BOA's significant performance advantages on most test functions.
  • BOA shows limitations in computational efficiency, surpassing the running time of five algorithms.

Cite This Study

Bin Deng (2026) studied this question.

synapsesocial.com/papers/69e3215140886becb65407e7https://doi.org/10.1016/j.asej.2026.104178
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