Table 1 Comparison of metaheuristics and their fields of application.
Algorithms | Highlights | Limits | Area of use |
---|---|---|---|
PO36 | Simplicity of implementation, inspired by parrot behavior | Convergence to local minimums | General optimization, reference functions |
GWO46 | Excellent exploration capacity and balanced operations | Risk of stagnation in multi-modal landscapes | Complex optimization, multi-objective problems |
WOA47 | Good convergence for complex problems | Can suffer from low diversity | Design problems and multidimensional optimization |
GOA48 | Inspired by gazelle dynamics, robustness in certain functions | Less effective on certain multi-objective problems | Biological and ecological applications |
SCA49 | Easy to implement, fast convergence for simple problems | Lack of robustness for complex landscapes | Simple problems, fast optimization |
COOT50 | Inspired by COOT birds, increased diversity | Variable performance for different applications | Dynamic applications, natural environment |
PLO51 | Inspired by polar lights, Stability in complex environments | Less flexible for dynamic environments | Energy optimization, signal analysis |
CPO | Balanced exploration-exploitation, high adaptability, robustness, adjustable convergence | slow convergence for large population problems | Applications in various engineering problems and in the field of image segmentation |