Pirates of the Caribbean Metaheuristic: A Novel Optimization Algorithm Inspired by Cinematic Metaphors for Solving Complex Optimization Problems

Alipour, Yasin; Basiri, Abdolali; Pourgholi, Reza; Moallem, Mahmoud; Mollajafary, Hossein

doi:10.22128/ansne.2026.3221.1187

Pirates of the Caribbean Metaheuristic: A Novel Optimization Algorithm Inspired by Cinematic Metaphors for Solving Complex Optimization Problems

Articles in Press

Document Type : Research Article

Authors

School of Mathematics and Computer Science, Damghan University, Damghan, Iran

10.22128/ansne.2026.3221.1187

Abstract

This study introduces a novel population-based metaheuristic algorithm, the Pirates of the Caribbean Optimization Algorithm (PCOA), inspired by the adventurous strategies of pirates in cinematic narratives. PCOA models the exploration and exploitation process through the metaphor of pirate crews searching for hidden treasure while navigating unpredictable challenges. The algorithm’s effectiveness is evaluated by extensive comparisons with leading optimization methods across 23 classical functions and the CEC 2019 benchmark suites. Results consistently demonstrate PCOA’s superior solution quality, robustness, and convergence speed. Additionally, PCOA is successfully applied to challenging real-world inverse problems in nonlinear partial differential equations, highlighting its practical potential. The open-source implementation of PCOA further supports reproducibility and future research.

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