We consider the problem of scheduling a set of independent jobs on a single machine so as to minimize the total weighted completion time, subject to the constraint that the total compression cost is less than or equal to a fixed amount. The complexity of this problem is mentioned as an open problem.
The counting complexity of a simple scheduling problem
โ Scribed by Gerardo Berbeglia
- Publisher
- Elsevier Science
- Year
- 2009
- Tongue
- English
- Weight
- 780 KB
- Volume
- 37
- Category
- Article
- ISSN
- 0167-6377
No coin nor oath required. For personal study only.
โฆ Synopsis
Let T be a set of tasks. Each task has a non-negative processing time and a deadline. The problem of determining whether or not there is a schedule of the tasks in T such that a single machine can finish processing each of them before its deadline is polynomially solvable. We prove that counting the number of schedules satisfying this condition is #P-complete.
๐ SIMILAR VOLUMES
We consider scheduling problems for shops in which a job set is manufactured repetitively. Jobs are scheduled to minimize the cycle time of the job set, which is equivalent to maximizing the throughput rate. We characterize the complexity of the scheduling problem for several types of job shops. Pol
The problems of scheduling groups of jobs under the group technology assumption are studied. The two remaining open questions posed in the literature a decade ago about the computational complexity of these problems (J. Oper. Res. Soc., 1992; 43:395 -406), are answered. The parallel machine problem