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. 2026 Sep 4;11(9):634. doi: 10.3390/biomimetics11090634
CPO Crested Porcupine Optimizer
MSCPO Multi-Strategy Enhanced Crested Porcupine Optimizer
KCOL Kent Chaos Opposition-Based Learning
APO-DME Arctic Puffin Optimization (APO)-Inspired Dual-Modal Evasion
ADDP Adaptive Dual-Differential Perturbation
PDAP Periodic Dynamic Adaptive Perturbation
GA genetic algorithm
GWO Gray Wolf Optimizer
WOA Whale optimization algorithm
DE differential evolution
GBO gradient-based optimizer
AVOA African vultures optimization algorithm
RUN Runge–Kutta method
EO equilibrium optimizer
GTO gorilla troops optimizer
UAV unmanned aerial vehicle
ECPO Enhanced CPO
BTCPO Butterfly Search and Triangular Walk CPO
CAPCPO Composite Adaptive CPO
HHO Harris Hawks Optimization
DBO dung beetle optimizer
GJA Gekko Japonicus Algorithm
SSA Sparrow search algorithm
BBO Beaver behavior optimizer
L-SHADE success-history based adaptive differential evolution with linear population size reduction
LSHADE-SPACMA LSHADE with semi-parameter adaptation hybrid with CMA-ES
CP crested porcupines
OBL opposition-based learning
APO Arctic Puffin Optimization
CD Critical Difference
MOCPO multi-objective crested porcupines optimization
MCPOMD multi-objective crested porcupine optimization algorithm based on multiple defense strategies