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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Tag: evolutionary algorithms
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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Solar SImulations
One of my much cherished research goals is to work in the area of renewable energy systems. I am quite intrigued by the recent developments
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Evolutionary Art
I have been obsessed with evolutionary algorithms for quite some time now. This obsession is not without reason, however. Despite their lucidity, evolutionary algorithms can
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Evolving Operating Systems
I attended EuroGP in Valencia in 2007. At one point, the program committee wondered about the possibilities that could be realized through evolutionary algorithms at
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How to Evolve Controllers for Simulated Drones
I already wrote a couple of posts about simulated drones some time back. I also wrote a research proposal in which I have cited plenty
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On Water Distribution Networks
Another discipline I have been thinking about for quite some time is about water distribution networks. I think that paying attention to water distribution is
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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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Evolutionary Nursery
Long time ago I was quite inspired by the power of evolutionary algorithms as problem solvers. I still am. But it is about that time
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Genetic Programming
A Typical GP Breeding Cycle Genetic programming (GP) is another very important machine learning (ML) algorithm. It is also a very elegant algorithm and possibly
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