Introduction: The application of machine learning methods involves the collection and processing data which comes from recording elements in offline mode. Most models are trained on historical then used forecasting, classification, search for influencing factors or impacts, state analysis. In long run, value ranges can change, affecting quality classification algorithms leading to situation whe...

in this paper, the researchers have investigated a concatenated robot move (crm) sequence problem and minimal part set (mps) schedule problem with different setup times for two-machine robotic cell. they have focused on simultaneous solving of crm sequence and mps schedule problems with different loading and unloading times. they have applied a simulated annealing (sa) algorithm to provide a go...