Parallel machine scheduling with splitting jobs
Discrete Applied Mathematics
Convex quadratic and semidefinite programming relaxations in scheduling
Journal of the ACM (JACM)
A Polynomial Algorithm for Multiprocessor Scheduling with Two Job Lengths
Mathematics of Operations Research
Convex Optimization
Exact and approximate algorithms for high-multiplicity parallel machine scheduling
Journal of Scheduling
Probabilistic analysis of the minimum weighted flowtime scheduling problem
Operations Research Letters
Bounds and asymptotic results for the uniform parallel processor weighted flow time problem
Operations Research Letters
Hi-index | 0.00 |
We consider a high-multiplicity parallel machine scheduling problem where the objective is to minimize the weighted sum of completion times. We suggest an approximate algorithm and we prove that it is asymptotically exact. The algorithm exploits a convex quadratic relaxation of the problem to fix a partial schedule, consisting of most jobs, and then assigns the residual jobs following a simple and general rule. The quality of the obtained solution is evidenced by some numerical tests.