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This issue aims to model simulation agent parameters using a DNA and genes-inspired approach. By structuring agent parameters, such as “learning rate,” as genes within a genome, we can encode, decode,…
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### Describe the desired feature
CrystalNN is our go-to for fingerprinting in the evolutionary algorithm and reverse monte carlo. If we look at the [current code for this validator](https://github.c…
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**Submitting author:** @Freakwill (Congwei Song)
**Repository:** https://github.com/Freakwill/pyrimidine
**Branch with paper.md** (empty if default branch):
**Version:** v1.5.4
**Editor:** @boisgera
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There are many Lisp libraries for domain-specific genetic algorithms but no good generalized ones (genome definition, problem space mappings, performance profiling, fitness functions)
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*Issue migrated from trac ticket # 1484*
**milestone:** HeuristicLab 3.3.x Backlog | **component:** General | **priority:** medium
#### 2011-04-18 16:01:27: @mkommend created the issue
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Initially deepbots was developed to support Reinforcement Learning algorithms however we expect that easily can be extended to support Evolutionary Algorithms. When it comes to evolutionary algorithm …
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Differential evolution would be an addition to the evolutionary algorithms implemented in argmin-rs. The only other I've seen so far is Particle Swarm Optimization. It's good that this algorithm imple…
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Respected Sir,
I want to add more Evolutionary/Genetic Algorithms and its application in machine learning in your project. Presently Evolutionary or population based algorithms are used in various Mu…