Jorge Mario Cruz-Duarte's repositories
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 as building blocks for tailoring metaheuristics. They were extracted from ten well-known metaheuristics in the literature.
customhys-qt
GUI for customhys
fractional-entropy-msd-system
Codes related to the manuscript: https://www.mdpi.com/2073-8994/12/3/395
tl-hh-umhs
This repository contains the resulting dataset of A Transfer Learning Hyper-heuristic Approach for Automatic Tailoring of Unfolded Population-based Metaheuristics presented in CEC22
unfolded-metaheuristics-preliminary
This repository contains the resulting dataset of the preliminary study on unfolded metaheuristics presented in CEC21
ai-economist
Foundation is a flexible, modular, and composable framework to model socio-economic behaviors and dynamics with both agents and governments. This framework can be used in conjunction with reinforcement learning to learn optimal economic policies, as done by the AI Economist (https://www.einstein.ai/the-ai-economist).
botCleaners
Problema de robots limpiadores en Mesa para el curso de Sistemas Multiagente
fractional-capacitor
Codes related to the manuscript: https://onlinelibrary.wiley.com/doi/10.1002/mma.7037
fractional-catenary
Codes related to the manuscript https://onlinelibrary.wiley.com/doi/10.1002/mma.5608
fractional-coupled-springs
Codes related to the manuscript: https://onlinelibrary.wiley.com/doi/10.1002/mma.7421
fractional-gaussian-derivative
Codes related to the manuscript: https://www.sciencedirect.com/science/article/abs/pii/S100757041830025X
fsociety
fsociety Hacking Tools Pack – A Penetration Testing Framework
javascript-essential-training-2832077
JavaScript Essential Training
nn-hh-umhs
This repository contains the results of several machine learning experiments on the CUSTOMHyS v1.1 framework.
nn-hh-umhs-cec22
This repository contains the results from A Primary Study on Hyper-Heuristics Powered by Artificial Neural Networks for Customising Population-based Metaheuristics in Continuous Optimisation Problems presented on CEC 2022. The following version of Customising optimisation metaheuristics via hyper-heuristic search (CUSTOMHyS) was used for the proposed NN-HH model experiments.
OpenDS4All
OpenDS4All project, hosted by LF AI & Data
pykan
Kolmogorov Arnold Networks
trading-bot
Stock Trading Bot using Deep Q-Learning