Minimizing total tardiness on one machine is NP-hard
Mathematics of Operations Research
A graphical realization of the dynamic programming method for solving NP-hard combinatorial problems
Computers & Mathematics with Applications
Mathematical and Computer Modelling: An International Journal
Graphical algorithm for the knapsack problems
PaCT'11 Proceedings of the 11th international conference on Parallel computing technologies
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In this paper, we consider two scheduling problems on a single machine, where a specific objective function has to be maximized in contrast to usual minimization problems. We propose exact algorithms for the single machine problem of maximizing total tardiness 1驴max-ΣT j and for the problem of maximizing the number of tardy jobs 1驴maxΣU j . In both cases, it is assumed that the processing of the first job starts at time zero and there is no idle time between the jobs. We show that problem 1驴max-ΣT j is polynomially solvable. For several special cases of problem 1驴maxΣT j , we present exact polynomial algorithms. Moreover, we give an exact pseudo-polynomial algorithm for the general case of the latter problem and an alternative exact algorithm.