Chinese Pangolin Optimizer (CPO)
Version 1.1.0 (23,2 Mo) par
GUO
Original Name -- Manis Pentadactyla Optimizer (MPO) Modified Name -- Chinese Pangolin Optimizer (CPO)
This paper proposes a novel bio-inspired metaheuristic algorithm, called Chinese Pangolin Optimizer (CPO). Drawing inspiration from two distinct hunting behaviors observed in the Chinese pangolin, namely luring and predation, the CPO algorithm embodies these behaviors in five key stages: attraction and capture, movement and feeding, search and localization, rapid approach, and digging and feeding. These stages are mathematically modeled and implemented to facilitate highly efficient optimization within complex search spaces. To validate the performance of the CPO algorithm, a comprehensive evaluation is conducted under standardized experimental conditions, benchmarking its effectiveness against other metaheuristic algorithms using benchmark functions and real-world engineering problems.
Citation pour cette source
GUO (2024). Chinese Pangolin Optimizer (CPO) (https://www.mathworks.com/matlabcentral/fileexchange/157086-chinese-pangolin-optimizer-cpo), MATLAB Central File Exchange. Récupéré le .
Compatibilité avec les versions de MATLAB
Créé avec
R2021b
Compatible avec les versions R2021b et ultérieures
Plateformes compatibles
Windows macOS LinuxTags
Remerciements
Inspiré par : Grey Wolf Optimizer (GWO), Ant Colony Optimization (ACO), Particle Swarm Optimization (PSO)
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Chinese Pangolin Optimizer (CPO)
Version | Publié le | Notes de version | |
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1.1.0 |