Immune scheduling algorithm for flowshop problems under uncertainty

Production scheduling is an important part in enterprise's production process, and there will be various uncertainties in the real production process. To solve the flowshop scheduling problems under uncertain conditions, the fuzzy mathematics method can be applied to process the uncertain data, and the corresponding fuzzy scheduling model has been set up based on the fuzzy programming theory. Combining the characteristics of the immune algorithm, a fuzzy immune scheduling approach of solving this kind of problems has been proposed. Simulation results demonstrate the feasibility and validity of the model and algorithm.