Exponential inapproximability and FPTAS for scheduling with availability constraints
Theoretical Computer Science
Approximation algorithms for scheduling with a variable machine maintenance
AAIM'10 Proceedings of the 6th international conference on Algorithmic aspects in information and management
Approximation schemes for scheduling with availability constraints
FAW'10 Proceedings of the 4th international conference on Frontiers in algorithmics
Approximation schemes for parallel machine scheduling with availability constraints
Discrete Applied Mathematics
Single machine scheduling with an operator non-availability period to minimize total completion time
FAW-AAIM'11 Proceedings of the 5th joint international frontiers in algorithmics, and 7th international conference on Algorithmic aspects in information and management
A fully polynomial approximation scheme for a knapsack problem with a minimum filling constraint
WADS'11 Proceedings of the 12th international conference on Algorithms and data structures
Universal sequencing on a single machine
IPCO'10 Proceedings of the 14th international conference on Integer Programming and Combinatorial Optimization
An effective GRASP and tabu search for the 0-1 quadratic knapsack problem
Computers and Operations Research
Dual techniques for scheduling on a machine with varying speed
ICALP'13 Proceedings of the 40th international conference on Automata, Languages, and Programming - Volume Part I
Computers and Industrial Engineering
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We design a fully polynomial-time approximation scheme (FPTAS) for a knapsack problem to minimize a symmetric quadratic function. We demonstrate how the designed FPTAS can be adopted for several single machine scheduling problems to minimize the sum of the weighted completion times. The applications presented in this paper include problems with a single machine non-availability interval (for both the non-resumable and the resumable scenarios) and a problem of planning a single machine maintenance period; the latter problem is closely related to a single machine scheduling problem with two competing agents. The running time of each presented FPTAS is strongly polynomial.