In this paper we consider several semi-online scheduling problems on two identical machines with combined information. The objective of each problem is to minimize the makespan. The first problem is semi-online scheduling with known optimal solution value and maximum job size. We obtain a lower bound 65 and design an optimal algorithm with a competitive ratio 65. The second problem is semi-online scheduling with a buffer of size k, where k(k<1) is a finite positive integer, and known maximum job size. We obtain a lower bound 65 and design an algorithm with a competitive ratio 54. The third problem is semi-online scheduling with a buffer of size 1 and jobs arriving in decreasing order of their processing times. We obtain a lower bound 76, wh...
International audienceWe consider a semi-online multiprocessor scheduling problem with a given a set...
International audienceBatch processing machine scheduling in uncertain environment attracts more and...
AbstractThis paper investigates the semi-online version of scheduling problem P||Cmax on a three-mac...
AbstractIn this paper we consider several semi-online scheduling problems on two identical machines ...
In this paper we consider the semi-online scheduling problem with known partial information about jo...
AbstractIn this paper we consider the semi-online scheduling problem with known partial information ...
Makespan minimization onm identical machines is a fundamental scheduling problem. The goal is to ass...
AbstractThis paper considers two semi-online scheduling problems, one with known optimal value and t...
We consider the semi-online parallel machine scheduling problem of minimizing the makespan given a p...
AbstractIn semi-online scheduling problems, we always assume that some partial additional informatio...
AbstractMakespan minimization on m identical machines is a fundamental scheduling problem. The goal ...
This paper considers two semi-online scheduling problems, one with known optimal value and the other...
Mgr. Tomáš Ebenlendr Combinatorial algorithms for online problems: Semi-online scheduling on related...
Abstract Weconsiderasemi-onlineversionoftheproblemofschedulingasequence of jobs of different lengths...
AbstractIn this paper we consider the problem of semi-online scheduling on two uniform processors, i...
International audienceWe consider a semi-online multiprocessor scheduling problem with a given a set...
International audienceBatch processing machine scheduling in uncertain environment attracts more and...
AbstractThis paper investigates the semi-online version of scheduling problem P||Cmax on a three-mac...
AbstractIn this paper we consider several semi-online scheduling problems on two identical machines ...
In this paper we consider the semi-online scheduling problem with known partial information about jo...
AbstractIn this paper we consider the semi-online scheduling problem with known partial information ...
Makespan minimization onm identical machines is a fundamental scheduling problem. The goal is to ass...
AbstractThis paper considers two semi-online scheduling problems, one with known optimal value and t...
We consider the semi-online parallel machine scheduling problem of minimizing the makespan given a p...
AbstractIn semi-online scheduling problems, we always assume that some partial additional informatio...
AbstractMakespan minimization on m identical machines is a fundamental scheduling problem. The goal ...
This paper considers two semi-online scheduling problems, one with known optimal value and the other...
Mgr. Tomáš Ebenlendr Combinatorial algorithms for online problems: Semi-online scheduling on related...
Abstract Weconsiderasemi-onlineversionoftheproblemofschedulingasequence of jobs of different lengths...
AbstractIn this paper we consider the problem of semi-online scheduling on two uniform processors, i...
International audienceWe consider a semi-online multiprocessor scheduling problem with a given a set...
International audienceBatch processing machine scheduling in uncertain environment attracts more and...
AbstractThis paper investigates the semi-online version of scheduling problem P||Cmax on a three-mac...