I am committed to exploring complex problem modeling, green technology energy consumption efficiency, heuristic operators based on problem characteristics, multi-objective optimization algorithm framework design, and deep reinforcement learning evolution in workshop scheduling problems. At the same time, I am very interested in multi-task optimization, expensive optimization, data-driven optimization, deep learning, reinforcement learning, parallel computing, and vehicle path planning.
Currently studying for a PhD in the Department of Automation, Tsinghua University
Students who want to learn workshop scheduling have problems such as difficulty in getting started, difficulty in getting started, difficulty in learning, difficulty in finding code, difficulty in finding models, difficulty in finding test sets, etc. I put the codes, test sets, and algorithms that beginners need to use in workshop scheduling on my personal homepage. I hope it can help graduate students and make a small contribution to the industry.
Research direction: workshop scheduling, multi-objective optimization
Personal homepage is as follows:
https://cuglirui.github.io/index.html< /span> Contains: classic workshop scheduling problem test set, published papers and codes, and personal homepage navigation of outstanding scholars in related fields.
Personal homepage
If you have any questions, please contact us and welcome to communicate: email [email protected] on the homepage