Multiprocessor Scheduling with Rejection
SIAM Journal on Discrete Mathematics
Scheduling one batch processor subject to job release dates
Discrete Applied Mathematics
Preemptive multiprocessor scheduling with rejection
Theoretical Computer Science
Theoretical Computer Science
On-line scheduling of unit time jobs with rejection: minimizing the total completion time
Operations Research Letters
Minimizing the makespan on a single parallel batching machine
Theoretical Computer Science
Single-machine scheduling under the job rejection constraint
Theoretical Computer Science
Bounded parallel-batch scheduling on unrelated parallel machines
AAIM'10 Proceedings of the 6th international conference on Algorithmic aspects in information and management
Lorenz versus Pareto dominance in a single machine scheduling problem with rejection
EMO'11 Proceedings of the 6th international conference on Evolutionary multi-criterion optimization
Bounded parallel-batch scheduling on single and multi machines for deteriorating jobs
Information Processing Letters
Two-machine flow-shop scheduling with rejection
Computers and Operations Research
A bicriteria approach to scheduling a single machine with job rejection and positional penalties
Journal of Combinatorial Optimization
Scheduling of deteriorating jobs with release dates to minimize the maximum lateness
Theoretical Computer Science
International Journal of Applied Evolutionary Computation
A survey on offline scheduling with rejection
Journal of Scheduling
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We consider the bounded single-machine parallel-batch scheduling problem with release dates and rejection. A job is either rejected, in which case a certain penalty has to be paid, or accepted and then processed on the machine. The objective is to minimize the sum of the makespan of the accepted jobs and the total penalty of the rejected jobs. When the jobs have identical release dates, we present a polynomial-time algorithm. When the jobs have a constant number of release dates, we give a pseudo-polynomial-time algorithm. For the general problem, we provide a 2-approximation algorithm and a polynomial-time approximation scheme.