✨TESO Tabu Enhanced Simulation Optimization for Noisy Black Box Problems
📝 Summary:
TESO is a new metaheuristic framework for simulation optimization that tackles noisy, complex problems. It integrates Tabu List and Elite Memory strategies to dynamically balance exploration and exploitation, demonstrating improved performance.
🔹 Publication Date: Published on Dec 30, 2025
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.24007
• PDF: https://arxiv.org/pdf/2512.24007
• Github: https://github.com/bulentsoykan/TESO
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For more data science resources:
✓ https://t.me/DataScienceT
#SimulationOptimization #Metaheuristics #Optimization #BlackBoxOptimization #TabuSearch
📝 Summary:
TESO is a new metaheuristic framework for simulation optimization that tackles noisy, complex problems. It integrates Tabu List and Elite Memory strategies to dynamically balance exploration and exploitation, demonstrating improved performance.
🔹 Publication Date: Published on Dec 30, 2025
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.24007
• PDF: https://arxiv.org/pdf/2512.24007
• Github: https://github.com/bulentsoykan/TESO
==================================
For more data science resources:
✓ https://t.me/DataScienceT
#SimulationOptimization #Metaheuristics #Optimization #BlackBoxOptimization #TabuSearch
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