IEEE

An Iterative Greedy Algorithm for Solving a Multiobjective Distributed Assembly Flexible ...

Abstract: Deterministic processing time are no longer applicable under realistic circumstances because of the uncertainties involved in manufacturing and production processes. The present study aims ...
IEEE

Greedy Heuristic Algorithm for Job-Shop Scheduling in Smart Manufacturing Environments

Abstract: Job-shop scheduling is a fundamental optimization issue in manufacturing. It involves determining the optimal allocation of many jobs among machines to increase makespan, throughput, and ...
Scientific Research Publishing

Reinforcement Learning for Dynamic and Predictive CPU Resource Management in Cloud Computing ()

1 School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, PA, USA. 2 Department of Electrical and Computer Engineering, Duke University, Durham, NC, USA. As cloud ...
GitHub

Deep Reinforcement Learning Guided Improvement Heuristic for Job Shop Scheduling

If you make use of the code/experiment or L2S algorithm in your work, please cite our paper (Bibtex below). @InProceedings{ zhang2024deep, title={Deep Reinforcement Learning Guided Improvement ...