Hybrid Batch Bayesian Optimization

The Global Optimization Problem: An Introduction Toward Global Optimization

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Design and analysis of computer experiments

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Genetic algorithms + data structures = evolution programs (2nd, extended ed.)

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Memory-based stochastic optimization

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Bayesian algorithms for one-dimensional globaloptimization

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A nonparametric approach to noisy and costly optimization

Anderson, B. S., Moore, A., and Cohn, D. (2000) · 2000

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A taxonomy of global optimization methods based on response surfaces

Jones, D. (2001) · 2001

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Electricity production by geobacter sulfurreducens attached to electrodes

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Improved fuel cell and electrode designs for producing electricity from microbial degradation

Park, D. and Zeikus, J. (2003) · 2003

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A memory-based rash optimizer

Brunato, M., Battiti, R., and Pasupuleti, S. (2006) · 2006

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Gaussian Processes for Machine Learning

Rasmussen, C. E. and Williams, C. K. I. (2006) · 2006

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A tutorial on Bayesian optimization of expensive cost functions, with application to active user modeling and hierarchical reinforcement learning

Brochu, E., Cora, V. M., and de Freitas, N. (2009) · 2009

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Batch bayesian optimization via simulation matching

Azimi, J., Fern, A., and Fern, X. (2010) · 2010

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Kriging is well-suited to parallelize optimization

Ginsbourger, D., Riche, R. L., and Carraro, L. (2010) · 2010

Later among the works it cites.