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Biomimetic swarm fission driven algorithm with preassigned target subgroup size.

He Cai1,2,3, Hao Wang1, Zixin Bei1

  • 1School of Automation Science and Engineering, South China University of Technology, Guangzhou 510641, People's Republic of China.

Bioinspiration & Biomimetics
|January 29, 2025
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Summary

This study introduces a biomimetic algorithm for swarm subgroup fission, inspired by killer whales. The novel approach ensures efficient and successful division of swarms for advanced robotic applications.

Keywords:
biomimetic algorithmsocial force modelsubgroup size controlswarm fission

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Area of Science:

  • Robotics and Artificial Intelligence
  • Biomimetics and Swarm Intelligence

Background:

  • Swarm systems require sophisticated coordination mechanisms for complex tasks.
  • Existing models often lack efficient methods for dynamic subgroup formation.

Purpose of the Study:

  • To develop a biomimetic algorithm for controlled subgroup fission in artificial swarms.
  • To enhance swarm capabilities by mimicking killer whale hunting strategies.

Main Methods:

  • Utilized a modified social force model for agent behavior.
  • Implemented a three-phase algorithm: cluster selection (constrained K-means), driven movement (center pushing, coordinated oscillation, flank pushing), and separation judgment (Kruskal algorithm).

Main Results:

  • Achieved a high success rate in simulated subgroup division.
  • Demonstrated the algorithm's efficiency in managing swarm fragmentation.
  • Validated the effectiveness of specialized driven agents in facilitating fission.

Conclusions:

  • The proposed biomimetic algorithm offers a robust solution for controlled swarm subgroup fission.
  • This approach has significant potential for advancing swarm-based technologies in various applications.