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A Divergence-Based Condition to Ensure Quantile Improvement in Black-Box Global Optimization
IEEE Transactions on Evolutionary Computation ( IF 11.7 ) Pub Date : 2024-09-02 , DOI: 10.1109/tevc.2024.3452420 Thomas Guilmeau 1 , Emilie Chouzenoux 1 , Víctor Elvira 2
中文翻译:
确保黑盒全局优化中分位数改进的基于发散的条件
更新日期:2024-09-02
IEEE Transactions on Evolutionary Computation ( IF 11.7 ) Pub Date : 2024-09-02 , DOI: 10.1109/tevc.2024.3452420 Thomas Guilmeau 1 , Emilie Chouzenoux 1 , Víctor Elvira 2
Affiliation
中文翻译:
确保黑盒全局优化中分位数改进的基于发散的条件