| 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 |