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GPJSS-basicLGP-release
using basic linear genetic programming (LGP) to design decision rules automatically for solving dynamic job shop scheduling problemsADGSGP
The implementation of "Improving Generalization of Genetic Programming for Symbolic Regression With Angle-Driven Geometric Semantic Operators"Linear-Genetic-Programming-LGP-and-Applications
This project implements a basic linear genetic programming method and its advanced variants based on ECJ. The main feature of this project is that it decouples the algorithm implementations and problem applications, which facilitates the application to other domains. We apply LGP to dynamic job shop scheduling and symbolic regression, respectively.C-GSGP
The optimized implementation of paper "Competent Geometric Semantic Genetic Programming for Symbolic Regression and Boolean Function Synthesis". The original code can be downloaded from the link in the paper.SemanticLGP_for_SR
the source code of the CYB paper "Semantic Linear Genetic Programming for Symbolic Regression"GaussianProcess_cpp_cuda
the c++ cuda implementation of Gaussian processLove Open Source and this site? Check out how you can help us