Publication | Open Access
Approximation schemes for minimizing average weighted completion time with release dates
204
Citations
20
References
2003
Year
Unknown Venue
Mathematical ProgrammingEngineeringComputational ComplexityN JobsOperations ResearchData ScienceRelease DatesDiscrete MathematicsParallel ComputingCombinatorial OptimizationStatisticsQuantitative ManagementJob SchedulerPredictive AnalyticsComputer EngineeringScheduling (Computing)Computer ScienceForecastingScheduling AnalysisScheduling ProblemM MachinesApproximation SchemesParallel Programming
We consider the problem of scheduling n jobs with release dates on m machines so as to minimize their average weighted completion time. We present the first known polynomial time approximation schemes for several variants of this problem. Our results include PTASs for the case of identical parallel machines and a constant number of unrelated machines with and without preemption allowed. Our schemes are efficient: for all variants the running time for /spl alpha/(1+/spl epsiv/) approximation is of the form f(1//spl epsiv/, m)poly(n).
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