Chinese Pangolin Optimizer (CPO)

Version 1.1.0 (23.2 MB) by GUO
Original Name -- Manis Pentadactyla Optimizer (MPO) Modified Name -- Chinese Pangolin Optimizer (CPO)
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Updated 3 Jan 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.

Cite As

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

MATLAB Release Compatibility
Created with R2021b
Compatible with R2021b and later releases
Platform Compatibility
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Chinese Pangolin Optimizer (CPO)

Version Published Release Notes
1.1.0