ShivaRajOptimizatio​n

a function similar to sphere function is implemented
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Actualizado 9 nov 2024

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Key Features of ShivaRaj Optimization Algorithm:
  1. Destruction (Exploration): Involves random perturbation of the solution space, encouraging the algorithm to explore unknown regions.
  2. Renewal (Exploitation): Focuses on refining solutions that show promise by updating them towards the best solution found so far.
  3. Dynamic Balance: The algorithm dynamically adjusts the balance between exploration and exploitation based on the solution’s progress.
Applications:
  • Engineering Design: For problems that require balancing innovation and refinement (e.g., structural optimization, material design).
  • Resource Management: For scenarios where a balance between exploration of new resources and refinement of existing strategies is needed.
  • Sustainability: Optimizing solutions for sustainable practices that require both new discoveries and improving existing practices.
Customization:
  • You can customize the fitness evaluation function to optimize any specific problem (e.g., minimizing energy, cost, or maximizing efficiency).
  • Adjust the rates (explorationRate, exploitationRate) based on how aggressively you want to explore or exploit the solution space.
This algorithm is inspired by the dual nature of Lord Shiva (creation through destruction) and emphasizes the need for balance in optimization. Let me know if you'd like any further details or modifications!
Compatibilidad con la versión de MATLAB
Se creó con R2024b
Compatible con cualquier versión
Compatibilidad con las plataformas
Windows macOS Linux
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Versión Publicado Notas de la versión
1.0.0