Just a small update for the article mentioned in the last post: Model-based methods for continuous and discrete global optimization.
Until April 11, 2017, the following link will direct you to the final version of the article on ScienceDirect (free, without personal or institutional registration).
(external link:) https://authors.elsevier.com/a/1Ub295aecSVmv2
The accepted manuscript of the article Model-based Methods for Continuous and Discrete Global Optimization by Thomas Bartz-Beielstein and myself has been published in the Elsevier Journal Applied Soft Computing.
External link: http://dx.doi.org/10.1016/j.asoc.2017.01.039
Among other important issues of Model-based Optimization, the article deals with methods for discrete or combinatorial optimization problems. A tabular survey of works in this field is part of the supplementary material. A PDF of this table will be kept up-to-date on this website, see:
Survey: Combinatorial Surrogate Models
If you have comments or additions with respect to that collection, please let me know.
Also, you can find an earlier preprint version in the publications section.
The final version of the article Multi-fidelity modeling and optimization of biogas plants by Daniel Gaida, Thomas Bartz-Beielstein and me, has just been published in the Elsevier Journal Applied Soft Computing. The final article is freely available for 50 days (until August 24, 2016) via the following link:
External link: http://authors.elsevier.com/a/1TK9q5aecSRzFl