Scheduling Algorithms
Minmax regret solutions for minimax optimization problems with uncertainty
Operations Research Letters
Improved polynomial algorithms for robust bottleneck problems with interval data
Computers and Operations Research
Analysis of robustness in proactive scheduling: A graphical approach
Computers and Industrial Engineering
Scheduling with uncertainties on new computing platforms
Computational Optimization and Applications
Minimizing total weighted flow time under uncertainty using dominance and a stability box
Computers and Operations Research
Robust scheduling on a single machine to minimize total flow time
Computers and Operations Research
Minimizing total weighted flow time of a set of jobs with interval processing times
Mathematical and Computer Modelling: An International Journal
Complexity of single machine scheduling problems under scenario-based uncertainty
Operations Research Letters
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In this paper, the single machine sequencing problem with maximum lateness criterion is discussed. The parameters of the problem are imprecise and they are specified as intervals. The maximal regret criterion is applied to calculate the optimal sequence. A polynomial algorithm for the studied problem is constructed.