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

 


17. Wild Dog Optimization Algorithm (WDOA)

Inspiration: Cooperative hunting strategies of African wild dogs (Lycaon pictus).
Key Mechanism:

  • Wild dogs surround prey and take turns chasing.

  • Mimics distributed search with role switching.

Applications:

  • Multi-objective optimization

  • Task scheduling

  • Wireless sensor networks

18. Lion Optimization Algorithm (LOA)

Inspiration: Social hierarchy and hunting behavior of lions.
Key Mechanism:

  • Pride hunting involves encircling, chasing, and attacking prey.

  • Male lions guard territory (local search), while lionesses hunt (global search).

Applications:

  • Large-scale optimization

  • Economic dispatch problems

  • Neural network training

19. Dolphin Pod Optimization (DPO)

Inspiration: Cooperative hunting and echolocation in dolphin pods.
Key Mechanism:

  • Dolphins use sonar clicks to locate prey.

  • Pod members coordinate to trap fish (solution refinement).

Applications:

  • Underwater sensor networks

  • Marine route optimization

  • Swarm robotics

20. Whale Swarm Algorithm (WSA)

Inspiration: Bubble-net feeding behavior of humpback whales (variant of WOA).
Key Mechanism:

  • Whales create spiraling bubbles to trap prey.

  • Combines local search (bubble-net) with global exploration.

Applications:

  • Renewable energy optimization

  • Financial forecasting

  • Biomedical signal processing

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