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.
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版本 | 已发布 | 发行说明 | |
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1.0.0 |