It would be good if you could give us more details. Is the data mining on the generated algorithms? Is the data mining the problem to solve?
If it is the first instance, we have found that some graph forms of GP has been useful. Otherwise, have you considered to extract the algorithms in some matrix and then analyse it statistically?
I know WEKA and ELKI aren't explicitly hyperheuristic but if you're interested in practical use rather than theoretical approach you might find a solution here.
WEKA http://www.cs.waikato.ac.nz/~ml/weka/
ELKI http://elki.dbs.ifi.lmu.de/
YALE/WEKA http://rapidminer.com
Hope that helps.
Andreas
EDIT: maybe eureqa would do the job. http://www.nutonian.com I remember, there is an open source version free of charge, but can't find it now - maybe you need to go through the video introductions of Hod Lipson on eureka to find the link.