Resources

Resources

Research code and public materials

This page tracks the public resources most relevant to my current research on genetic programming, reinforcement learning, scheduling, and industrial decision optimization.

Code

Open-source projects

Dynamic workflow scheduling code and resources for fog/cloud computing scenarios.

Research code for dynamic inventory control, replenishment, transshipment, and decision optimization experiments.

GPDFJSS

Python

Genetic programming methods for dynamic flexible job shop scheduling.

NichGPDRL

Python

Implementations of niching genetic programming and deep reinforcement learning for scheduling research.

Extended implementation and experiments for dynamic flexible job shop scheduling research.

Profiles

Research profiles