Recently we had an article about GELAB published in IEEE Access. This talks about all the fancy features of the toolbox as well as presents some results too. This is quite a bit of a
Read moreThe Cutting Edge of Grammatical Evolution
Tag: grammatical evolution
Analysis of Diversity in Grammatical Evolution
Recently we worked together to analyse population diversity in a grammatical evolution environment. Our paper was published ina nice conference. You may want to have a look. Analysis of Diversity in Grammatical Evolution – IEEE
Read moreGELAB And Hybrid Optimization Using Grammatical Evolution
Blizzard was released recently. This was the start of the second verion of GELAB. A major highlight of Blizzard is that it is capable of doing hybrid optimization. Now we have a publication about the
Read moreBlizzard is Released
Recently, we committed a new release of GELAB. This is called Blizzard. A major highlight of this release is that GELAB can now perform hybrid optimization. adilraja/GELAB GELAB: A Matlab Toolbox for Grammatical Evolution GitHub
Read moreEvolving MIMO Multi-layered Artificial Neural Networks Using Grammatical Evolution
Recently, we have been involved in developing a capacity for evolving artificial neural networks using Grammatical Evolution (GE). Our target was MIMO networks, as they can be used in various control systems that require simultaneous
Read moreAssociation Rule Mining Using Grammatical Evolution
The human mind can be tricky. It can tend to do things that it should not be doing in a particular circumstance. There was a presentation in our group today. My mind tended to look
Read moreGELAB is Published Work
I posted quite a lot oabout libGE in the past. Finally I said that libGE goes to Mathworks. We renamed libGE to GELAB, as it is in Matlab. We eventually wrote a research article about GELAB and it
Read morelibGE Comes to Java
This post is about libGE, a famous software for grammatic evolution. The original software is written in C++ and can be found here. For a long time, I used to think that it would be
Read moreGrammatical Evolution in Groovy
Grammatical evolution (GE) is a famous evolutionary computing algorithm proposed by Conor Ryan et al. In its original form, it uses a genetic algorithm at the back end to evolve genotype of a solution. On
Read moreGrammatical Optimization
Grammatical optimization is based on an idea to provide production rules of a user-specified context-free grammar (in Backus-Naur form) to a genetic algorithm. The genetic algorithm works on the back end as a solution finder.
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