Abstract
In this paper, a generalized formulation of a classical single machine scheduling problem is considered. A set of n jobs characterized by their release dates, deadlines and a start time-dependent processing time function p(t) has to be processed on a single machine. The objective is to find a Pareto-optimal set of schedules with respect to the criteria ϕmax and makespan, where ϕmax is a non-decreasing function depending on the completion times of the jobs. We present an approach that allows to find an optimal schedule with respect to different scheduling criteria, such as the minimization of makespan, lateness or weighted lateness, tardiness and weighted tardiness etc. in time polynomially depending on the number of jobs. The complexity of the presented algorithm is O(n3 max{log n, H, P}), where H and P are the complexity of calculating ϕj(t) and p(t), respectively.
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