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Explanation of the Code
- Initialization: The agents are randomly placed within the specified search space.
- Skill Learning Phase: Agents perform small, calculated movements (exploitation) to refine their positions, with the changes limited to maintain precision.
- Youthful Exploration Phase: A portion of agents explores new, random positions across the search space, promoting diversity and avoiding local minima.
- Adaptive Updates: The best solution is tracked and updated throughout the iterations.
General Information
- Version 1.0.0 (2.14 KB)
MATLAB Release Compatibility
- Compatible with any release
Platform Compatibility
- Windows
- macOS
- Linux
| Version | Published | Release Notes | Action |
|---|---|---|---|
| 1.0.0 |
