Chinese Pangolin Optimizer (CPO)

Versión 1.1.0 (23,2 MB) por GUO
Original Name -- Manis Pentadactyla Optimizer (MPO) Modified Name -- Chinese Pangolin Optimizer (CPO)
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Actualizado 3 ene 2024

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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.

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GUO (2024). Chinese Pangolin Optimizer (CPO) (https://www.mathworks.com/matlabcentral/fileexchange/157086-chinese-pangolin-optimizer-cpo), MATLAB Central File Exchange. Recuperado .

Compatibilidad con la versión de MATLAB
Se creó con R2021b
Compatible con cualquier versión desde R2021b
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Versión Publicado Notas de la versión
1.1.0