Recent Publication: Model-based Methods for Continuous and Discrete Global Optimization

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.

 

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