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
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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
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GELAB 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
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Blizzard 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
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Evolving 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
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Association 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
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GELAB is Published Work
I posted quite a lot about libGE in the past. Finally, I said that libGEÂ goes to Mathworks. We renamed libGEÂ to GELAB, as it is in
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libGE 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
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Grammatical 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
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Grammatical 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
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