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This study offers a new platform using the Slime Mould Algorithm (SMA) to let people generate complex visual designs via interactive simulations. Designed with WebGL and Three.js, the platform replicates multi-agent chemotaxis motivated by the dynamic adaptability of slime mould Physarum polycephalum. Two fundamental processes underlie the platform: a tailored text generating weight system and a tailored image fitting weight system. These mechanisms let users adjust pixel weightings, therefore guiding particles to create emergent, complex designs. Providing both accessibility for non-technical users and great degrees of creative flexibility, the platform combines computer graphics, visual arts, and computational physics. The system lets the development of original, changing artworks by integrating real-time input with dynamic rendering.

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A Novel Interactive Slime Mould Algorithm-Based Platform for Generative Art and Optimization

  • 会议论文

  • 发表日期：

    2025年

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  • Wen Wen,
  • Yuyao Zhang,
  • Jiaxuan Xu,
  • Shan Wang,
  • Jianghuai Shao

摘要

This study offers a new platform using the Slime Mould Algorithm (SMA) to let people generate complex visual designs via interactive simulations. Designed with WebGL and Three.js, the platform replicates multi-agent chemotaxis motivated by the dynamic adaptability of slime mould Physarum polycephalum. Two fundamental processes underlie the platform: a tailored text generating weight system and a tailored image fitting weight system. These mechanisms let users adjust pixel weightings, therefore guiding particles to create emergent, complex designs. Providing both accessibility for non-technical users and great degrees of creative flexibility, the platform combines computer graphics, visual arts, and computational physics. The system lets the development of original, changing artworks by integrating real-time input with dynamic rendering.