KL-based Control of the Learning Schedule for Surrogate Black-Box Optimization

12 Aug 2013Ilya LoshchilovMarc SchoenauerMichèle Sebag

This paper investigates the control of an ML component within the Covariance Matrix Adaptation Evolution Strategy (CMA-ES) devoted to black-box optimization. The known CMA-ES weakness is its sample complexity, the number of evaluations of the objective function needed to approximate the global optimum... (read more)

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