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Well Placement Optimization with the Covariance Matrix Adaptation Evolution S...
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Non-linearly increasing resampling in racing algorithms
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Rigorous analysis of some simple adaptive ES
Based on the theory of non-negative supermartingales, convergence results are proven for adaptive (1,)-ES with Gaussian mutations, and geometrical convergence rates... -
Cumulative Step-size Adaptation on Linear Functions
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Self-Adaptive Surrogate-Assisted Covariance Matrix Adaptation Evolution Strategy
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Well placement optimization
The amount of hydrocarbon recovered can be considerably increased by finding optimal placement of non-conventional wells. For that purpose, the use of optimization... -
Cumulative Step-size Adaptation on Linear Functions: Technical Report
The CSA-ES is an Evolution Strategy with Cumulative Step size Adaptation, where the step size is adapted measuring the length of a so-called cumulative path. The... -
BI-population CMA-ES Algorithms with Surrogate Models and Line Searches
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Linear Convergence of Evolution Strategies with Derandomized Sampling Beyond ...
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A Computationally Efficient Limited Memory CMA-ES for Large Scale Optimization
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