Zhixing1020/Standard-Genetic-Programming

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Created almost 5 years ago
Updated almost 5 years ago

Zhixing1020/Standard-Genetic-Programming

Zhixing1020

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a tree-based version of standard genetic programming and its major part is based on the Genetic-Prog on Github

GPJSS-basicLGP-release

using basic linear genetic programming (LGP) to design decision rules automatically for solving dynamic job shop scheduling problems

ADGSGP

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 process