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Adaptive Generation-Based Evolution Control for Gaussian Process Surrogate Models
The interest in accelerating black-box optimizers has resulted in several surrogate model-assisted version of the Covariance Matrix Adaptation Evolution Strategy, a state-of-the-art continuous black-box optimizer.
Model Guided Sampling Optimization for Low-dimensional Problems
Optimization of very expensive black-box functions requires utilization of maximum information gathered by the process of optimization.
A Generalized Markov-Chain Modelling Approach to $(1,λ)$-ES Linear Optimization: Technical Report
Several recent publications investigated Markov-chain modelling of linear optimization by a $(1,\lambda)$-ES, considering both unconstrained and linearly constrained optimization, and both constant and varying step size.
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