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@@ -38,7 +38,7 @@ The repository contains the implementation of the Gene Expression Programming[1]
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-[2] Reissmann, M., Fang, Y., Ooi, A., & Sandberg, R. (2024). Constraining genetic symbolic regression via semantic backpropagation. arXiv. https://arxiv.org/abs/2409.07369
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# Acknowledgement
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- The Coefficient optimization is inspired by [https://github.com/MilesCranmer/SymbolicRegression.jl](https://github.com/MilesCranmer/SymbolicRegression.jl/blob/master/src/ConstantOptimization.jl)
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- We employ the insane fast [DynamicExpressions.jl](https://github.com/SymbolicML/DynamicExpressions.jl)
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- We employ the insane fast [DynamicExpressions.jl](https://github.com/SymbolicML/DynamicExpressions.jl) for evaluating our expressions
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