Overview of Swarm Intelligence Algorithms Inspired by the Animal Kingdom Part IV

 



13. Emperor Penguin Optimizer (EPO)

Inspiration: Huddling behavior of emperor penguins for warmth.
Key Mechanism:

  • Penguins adjust positions based on temperature gradients.

  • Mimics optimization through social interaction.

Applications:

  • Feature selection

  • Medical diagnosis

  • Image segmentation

14. Crow Search Algorithm (CSA)

Inspiration: Intelligent food hiding and stealing behavior of crows.
Key Mechanism:

  • Crows remember food locations and avoid thieves.

  • Balances exploration and exploitation.

Applications:

  • Engineering optimization

  • Clustering

  • Power system problems

15. Bacterial Foraging Optimization (BFO)

Inspiration: Chemotaxis behavior of E. coli bacteria.
Key Mechanism:

  • Bacteria move toward nutrients and away from toxins.

  • Simulates gradient-based optimization.

Applications:

  • Machine learning

  • Economic load dispatch

  • Control system tuning

16. Cat Optimization Algorithm (COA)

Inspiration: Hunting behavior of domestic/wild cats.
Key Mechanism:

  • Cats alternate between slow movement (exploration) and rapid pouncing (exploitation).

  • Uses a mix of random search and local optimization.

Applications:

  • Feature selection in machine learning

  • Engineering design optimization

  • Image processing


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