Hi,
I am starting to learn Evolutionary Algorithms. I have used Python DEAP framework to implement small projects/programs using Genetic Algorithm and Genetic Programming(Tree based). DEAP has builtin support for GA and GP.
Now I have come across another term called Cartesian Genetic Programming (CGP). There is nothing mentioned in the documentation of DEAP. I don't know the details of CGP as well.
My question : Can we use DEAP framework for CGP based solutions as well ? If not then which platforms are better ? Your answer will be really helpful.
CGP genes appear to be encoded in integers. So, you can use list of integers in DEAP framework. This framework is awesome, flexible and very good for prototyping.
Nikola. I will locate some papers and study Cartesian Genetic Programming. It seems to be similar to "Genetic operators for sequencing problems" published in 1991 and available in my ResearchGate Profile. I use this method and its variations in all of my optimization algorithms where the solutions can be described as a sequences. You should also take time to look at my more recent post on benchmarking evolutionary algorithms.
Pls provide a short summary of what you are trying to optimize in your work so that I can consider if my work may assist your research.
Nikola Makedonski Sorry to say thanks for your comment. Later I found out that the Python DEAP framework does not support CGP, I wish it could. Although someone(very expert) can add this functionality into this.
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