y1fanhe Goto Github PK

bioma2020

cec2024

codebuildinggeneticprogramming-prototype

customhys

Customising optimisation metaheuristics via hyper-heuristic search (CUSTOMHyS). This framework provides tools for solving, but not limited to, continuous optimisation problems using a hyper-heuristic approach for customising metaheuristics. Such an approach is powered by a strategy based on Simulated Annealing. Also, several search operators serve

cystack

A stack implementation based on Cython

dafjsp

Distributed assembly flexible job-shop scheduling problem

ds_research

Paper: Ying Bi, Bing Xue, and Mengjie Zhang. An Effective Feature Learning Approach Using Genetic Programming with Image Descriptors for Image Classification, IEEE Computational Intelligence Magazine, vol. 15, no. 2, pp., May 2020.

dynopt

evolutionary-competition

compete the "evolution" and evolve the "competition"!

facilitylayout

gp-fla

graph-coloring

Solving graph coloring problems by evolution computation methods

kdps-arm

Code and data repository for the paper titled as "Incorporating Sub-programs as Knowledge in Program Synthesis by PushGP and Adaptive Replacement Mutation"

lexde-subsurface-model

Differential Evolution based on Lexicase Selection for Subsurface Model Optimization

moead-levy-python

A simple python script implmentation of MOEA/D injected with Levy Flight mutation

optopsh

OptoPsh uses Push GP to evolve local and population-based optimisers. It is a fork of Psh, which is a Java implementation of the Push programming language.

po_with_moead-levy

Code and data repository for paper "Solving Portfolio Optimization Problems Using MOEA/D and Levy Flight"

program-synthesis-benchmark-datasets

Repository of datasets for the General Program Synthesis Benchmark Suite

pybenchfcn

A python implementation of optimization benchmark functions (v1.0.3)

pyshgp

Push Genetic Programming in Python.

python-django

rvea-python

ssci2022

y1fanhe.github.io

zufe-beamer-template

Template for beamer presentation @ ZUFE