Wisdom-based Decision Making Optimization (WDMO)

版本 1.0.0 (2.0 KB) 作者: praveen kumar
this algorithm is based on wisdom and decision making
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更新时间 2024/11/11

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Key Features:
  • Exploration vs. Exploitation: The balance between exploration and exploitation allows the algorithm to explore new areas of the solution space while refining the best solutions found so far.
  • Feedback Mechanism: The feedback from past experiences (personal bests) helps the particles adapt and improve over time, making decisions more wisely.
  • Adaptive Nature: The algorithm dynamically adjusts its behavior, using both randomness and learned information to find the optimal solution.
Applications:
This optimization approach is suitable for:
  • Global Optimization: Problems where finding the global minimum or maximum is difficult.
  • Multi-objective Optimization: Problems involving multiple conflicting objectives.
  • Machine Learning Hyperparameter Tuning: Optimizing hyperparameters using both exploration and exploitation strategies.
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版本 已发布 发行说明
1.0.0