Multiprocessor Scheduling with Rejection
SIAM Journal on Discrete Mathematics
Preemptive multiprocessor scheduling with rejection
Theoretical Computer Science
Approximation Schemes for Minimizing Average Weighted Completion Time with Release Dates
FOCS '99 Proceedings of the 40th Annual Symposium on Foundations of Computer Science
Minimizing Makespan in Batch Machine Scheduling
Algorithmica
Note: minimizing makespan with release times on identical parallel batching machines
Discrete Applied Mathematics
On several scheduling problems with rejection or discretely compressible processing times
TAMC'06 Proceedings of the Third international conference on Theory and Applications of Models of Computation
AAIM'05 Proceedings of the First international conference on Algorithmic Applications in Management
Minimizing makespan on a single batching machine with release times and non-identical job sizes
Operations Research Letters
Efficient scheduling algorithms for a single batch processing machine
Operations Research Letters
On-line scheduling of unit time jobs with rejection: minimizing the total completion time
Operations Research Letters
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
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 on parallel identical machines with job-rejection and position-dependent processing times
Information Processing Letters
International Journal of Applied Evolutionary Computation
A survey on offline scheduling with rejection
Journal of Scheduling
Hi-index | 5.24 |
In the parallel batch scheduling model, a group of jobs can be scheduled together as a batch while the processing time of this batch is the greatest processing time among its members; in the model of scheduling with rejection, any job can be rejected with a corresponding penalty cost added to the objective value. In this paper, we present a PTAS for the combined model of the above two scheduling models where jobs arrive dynamically. The objective is to minimize the sum of the makespan of the accepted jobs and the total penalty of the rejected ones. Our basic approaches are dynamic programming and roundings.