Some time ago I got an email asking for the code of one of my old papers. Unfortunately the code was lost. But that reminded me that I still had some other code that could actually be made available. Essentially, some Genetic Programming (GP) libraries that I did around seven years ago (which in turn started on some other old code that I had done before).
Fast foward some weeks and it’s now available on my github account these two GP libraries:
- mini-gp: a minimalistic library that only allows simple tree-based GP
- core-gp: a larger library that does GP, STGP, GE and GAs.
The code is released as is and it’s not even re-tested. Basically it’s there not to be lost in some old external hard drive. Still, it might be useful to someone who has some interested in GP and Common Lisp. The code it’s not particulary nice in some aspects and it even contains some over-engineering parts, but it’s was fun to do it and back then was very useful to me.
PS: I still have another library for Ant Colony Optimization that I would like to put it on Github too but it still requires a little clean-up. Hopefully in the near future it’s done.
Last week I was at EuroGP where I presented my latest paper “Automatic Design of Ant Algorithms with Grammatical Evolution” (pdf, slides) and it won the Best Paper Award! I am very happy with this distinction since EuroGP is the leading conference on Genetic Programming attended by the best researchers in the field.
In this paper, a Grammatical Evolution approach is used for the automatic design of Ant Colony Optimization algorithms. The used grammar has the ability to guide the learning of novel architectures, by rearranging components regularly found on manually designed variants (for example, the Elitist Ant-System, the Ant Colony System or the Max-Min Ant System). This approach was tested with the TSP and the results show that the evolved algorithmic strategies are effective, exhibit a good generalization capability and are competitive with human designed variants. This is still a starting point and there is a large amount of work to be done but the indications given by these results are encouraging!
This year the conference took place in Málaga, Spain, as part of Evo* as usual. The event was great with an excellent organization lead by Carlos Cotta. It was a fantastic Evo*! Next year it will be held in Wien!