Surrogate models are rather scarcely applied to discrete, combinatorial optimization problems. This may be due to the fact that approaches for discrete data are lacking or unknown to application domain experts. Thus, the following PDF file collects the current literature on discrete, combinatorial, surrogate model-based optimization algorithms and their applications.
Please feel free to send an email if you notice something that is worth to be added or improved. Information about new articles / approaches / software or even just corrections and comments with respect to the survey are welcome.