We consider a scheduling problem with two identical parallel machines and n jobs. For each job we are given its release date when job becomes available for processing. All jobs have equal processing times. Preemptions are allowed. There are precedence constraints between jobs which are given by a (di)graph consisting of a set of outtrees and a number of isolated vertices. The objective is to find a schedule minimizing mean flow time. We suggest an O(n2) algorithm to solve this problem. The suggested algorithm also can be used to solve the related two-machine open shop problem with integer release dates, unit processing times and analogous precedence constraints
In this paper, we provide a unified approach to solving preemptive scheduling problems with uniform ...
Ideal schedules reach both minimum maximum completion time and minimum total completion time of jobs...
AbstractWe discuss the problem of scheduling preemptive independent tasks, subject to release dates ...
We consider a problem of scheduling n jobs on two uniform parallel machines. For each job we are giv...
AbstractWe consider a problem of scheduling n jobs on two uniform parallel machines. For each job we...
We consider the problem of preemptive scheduling n jobs on two uniform parallel machines. All jobs...
AbstractIn this paper we study the problem of scheduling n deteriorating jobs with release dates on ...
University of Technology Sydney. Faculty of Science.This work examines in depth a collection of rela...
International audienceWe study the problem of preemptive scheduling n jobs with given release times ...
It is known that the single machine preemptive scheduling problem of minimizing total completion tim...
We consider the problem of scheduling n preemptive jobs with deadlines on in identical parallel mach...
We consider the problem of scheduling a given set of n jobs with equal processing times on m paralle...
International audienceThis paper presents the first study for the total tardiness minimization on pa...
International audienceWe consider preemptive machine scheduling problems on identical parallel machi...
In this paper, we study the problem of scheduling n equal-length preemptive jobs on a single machine...
In this paper, we provide a unified approach to solving preemptive scheduling problems with uniform ...
Ideal schedules reach both minimum maximum completion time and minimum total completion time of jobs...
AbstractWe discuss the problem of scheduling preemptive independent tasks, subject to release dates ...
We consider a problem of scheduling n jobs on two uniform parallel machines. For each job we are giv...
AbstractWe consider a problem of scheduling n jobs on two uniform parallel machines. For each job we...
We consider the problem of preemptive scheduling n jobs on two uniform parallel machines. All jobs...
AbstractIn this paper we study the problem of scheduling n deteriorating jobs with release dates on ...
University of Technology Sydney. Faculty of Science.This work examines in depth a collection of rela...
International audienceWe study the problem of preemptive scheduling n jobs with given release times ...
It is known that the single machine preemptive scheduling problem of minimizing total completion tim...
We consider the problem of scheduling n preemptive jobs with deadlines on in identical parallel mach...
We consider the problem of scheduling a given set of n jobs with equal processing times on m paralle...
International audienceThis paper presents the first study for the total tardiness minimization on pa...
International audienceWe consider preemptive machine scheduling problems on identical parallel machi...
In this paper, we study the problem of scheduling n equal-length preemptive jobs on a single machine...
In this paper, we provide a unified approach to solving preemptive scheduling problems with uniform ...
Ideal schedules reach both minimum maximum completion time and minimum total completion time of jobs...
AbstractWe discuss the problem of scheduling preemptive independent tasks, subject to release dates ...