Pinned Repositories
ADGSGP
The implementation of "Improving Generalization of Genetic Programming for Symbolic Regression With Angle-Driven Geometric Semantic Operators"
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.
ecj
ECJ Evolutionary Computation Toolkit
epsilon_lexicase
epsilon lexicase journal paper
GaussianProcess_cpp_cuda
the c++ cuda implementation of Gaussian process
Genetic-Prog
Simple Code For Genetic Programming in C++
GPJSS-basicLGP-release
using basic linear genetic programming (LGP) to design decision rules automatically for solving dynamic job shop scheduling problems
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.
SemanticLGP_for_SR
the source code of the CYB paper "Semantic Linear Genetic Programming for Symbolic Regression"
Standard-Genetic-Programming
a tree-based version of standard genetic programming and its major part is based on the Genetic-Prog on Github
Zhixing1020's Repositories
Zhixing1020/GPJSS-basicLGP-release
using basic linear genetic programming (LGP) to design decision rules automatically for solving dynamic job shop scheduling problems
Zhixing1020/ADGSGP
The implementation of "Improving Generalization of Genetic Programming for Symbolic Regression With Angle-Driven Geometric Semantic Operators"
Zhixing1020/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.
Zhixing1020/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.
Zhixing1020/GaussianProcess_cpp_cuda
the c++ cuda implementation of Gaussian process
Zhixing1020/Genetic-Prog
Simple Code For Genetic Programming in C++
Zhixing1020/SemanticLGP_for_SR
the source code of the CYB paper "Semantic Linear Genetic Programming for Symbolic Regression"
Zhixing1020/Standard-Genetic-Programming
a tree-based version of standard genetic programming and its major part is based on the Genetic-Prog on Github
Zhixing1020/ecj
ECJ Evolutionary Computation Toolkit
Zhixing1020/epsilon_lexicase
epsilon lexicase journal paper
Zhixing1020/GauProGPU
The GPU implementation of Gaussian Process by Python
Zhixing1020/fangfang-zhang.github.io
Zhixing1020/LGP_DJSS_ECJ
using linear genetic programming as a kind of hyper-heuristic method to solve dynamic job shop scheduling, implemented on ECJ
Zhixing1020/scip-dagger
A branch-and-bound ILP solver
Zhixing1020/ShadowsockR.tar
Zhixing1020/srbench
A living benchmark framework for symbolic regression
Zhixing1020/zhixinghuang.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes