scheduling is one of the most important problems and is being actively researched. Extant studies assume that processing times …-learning model. Although there are studies that use machine learning for scheduling optimization itself, it should be noted that the … Light gradient-boosted machine (LightGBM) algorithm and Ridge performed the best with MAPE and RMSE. The optimization of …

lower bounds as well as nine efficient heuristics for solving the problem with the objective of minimizing makespan. The … randomly generated instances indicates that GVNS outperforms other heuristics. The performance of proposed heuristics and meta-heuristics …