Multiprocessor scheduling with rejection
Proceedings of the seventh annual ACM-SIAM symposium on Discrete algorithms
Algorithms for Scheduling Independent Tasks
Journal of the ACM (JACM)
Computers and Intractability: A Guide to the Theory of NP-Completeness
Computers and Intractability: A Guide to the Theory of NP-Completeness
Theoretical Computer Science
An Optimal Incremental Algorithm for Minimizing Lateness with Rejection
ESA '08 Proceedings of the 16th annual European symposium on Algorithms
Bounded single-machine parallel-batch scheduling with release dates and rejection
Computers and Operations Research
A PTAS for parallel batch scheduling with rejection and dynamic job arrivals
Theoretical Computer Science
Scheduling with Rejection to Minimize the Makespan
COCOA '09 Proceedings of the 3rd International Conference on Combinatorial Optimization and Applications
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
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
A survey on offline scheduling with rejection
Journal of Scheduling
A note: Minmax due-date assignment problem with lead-time cost
Computers and Operations Research
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We study a scheduling problem with rejection on a set of two machines in a flow-shop scheduling system. We evaluate the quality of a solution by two criteria: the first is the makespan and the second is the total rejection cost. We show that the problem of minimizing the makespan plus total rejection cost is NP-hard and for its solution we provide two different approximation algorithms, a pseudo-polynomial time optimization algorithm and a fully polynomial time approximation scheme (FPTAS). We also study the problem of finding the entire set of Pareto-optimal points (this problem is NP-hard due to the NP-hardness of the same problem variation on a single machine [20]). We show that this problem can be solved in pseudo-polynomial time. Moreover, we show how we can provide an FPTAS that, given that there exists a Pareto optimal schedule with a total rejection cost of at most R and a makespan of at most K, finds a solution with a total rejection cost of at most (1+@?)R and a makespan value of at most (1+@?)K. This is done by defining a set of auxiliary problems and providing an FPTAS algorithm to each one of them.