Scheduling deteriorating jobs on a single processor
Operations Research
V-shaped policies for scheduling deteriorating jobs
Operations Research
Mathematics of Operations Research
Fast Approximation Algorithms for the Knapsack and Sum of Subset Problems
Journal of the ACM (JACM)
Algorithms for Scheduling Independent Tasks
Journal of the ACM (JACM)
Exact and Approximate Algorithms for Scheduling Nonidentical Processors
Journal of the ACM (JACM)
When does a dynamic programming formulation guarantee the existence of an FPTAS?
Proceedings of the tenth annual ACM-SIAM symposium on Discrete algorithms
An FPTAS for scheduling jobs with piecewise linear decreasing processing times to minimize makespan
Information Processing Letters
An FPTAS for parallel-machine scheduling under a grade of service provision to minimize makespan
Information Processing Letters
The Coordination of Two Parallel Machines Scheduling and Batch Deliveries
COCOON '08 Proceedings of the 14th annual international conference on Computing and Combinatorics
Parallel-machine scheduling of simple linear deteriorating jobs
Theoretical Computer Science
Parallel-machine scheduling with deteriorating jobs and rejection
Theoretical Computer Science
Bounded parallel-batch scheduling on single and multi machines for deteriorating jobs
Information Processing Letters
Parallel-machine scheduling with an availability constraint
Computers and Industrial Engineering
Scheduling to minimize makespan with time-dependent processing times
ISAAC'05 Proceedings of the 16th international conference on Algorithms and Computation
An FPTAS for uniform machine scheduling to minimize makespan with linear deterioration
Journal of Combinatorial Optimization
Scheduling of deteriorating jobs with release dates to minimize the maximum lateness
Theoretical Computer Science
Journal of Combinatorial Optimization
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A fully polynomial approximation scheme for the problem of scheduling n deteriorating jobs on a single machine to minimize makespan is presented. Each algorithm of the scheme runs in O(n^5L^4/\epsilon^3) time, where L is the number of bits in the binary encoding of the largest numerical parameter in the input, and ε is required relative error. The idea behind the scheme is rather general and it can be used to developfully polynomial approximation schemes for other combinatorial optimization problems. Main feature of the scheme is that it does not require any prior knowledge of lower and/or upper bounds on the value of optimal solutions.