The strongly NP-hard scheduling problem of minimizing the maximum lateness on one machine subject to job release dates is under study. We present a general scheme of approximation solution of the problem which is based on searching for a given problem instance another instance, closest to the original in some metric and belonging to a known polynomially solvable class of instances. For a few concrete variants of the scheme (using different polynomially solvable classes of instances) some analytic formulas are found that make it possible, given a problem instance, to compute easily an upper bound on the absolute error of the solution obtained by a chosen scheme. © Pleiades Publishing, Ltd. 2007
[[abstract]]This paper considers a single-machine scheduling problem to minimize the maximum latenes...
. In the job shop scheduling problem we are given m machines and n jobs; a job consists of a sequenc...
International audienceWe consider a multiobjective scheduling problem, with the aim of minimizing th...
The strongly NP-hard scheduling problem of minimizing the maximum lateness on one machine subject to...
We consider the problem of scheduling n independent jobs on m identical machines that operate in par...
We consider the following scheduling problem. There arem parallel machines andn independent jobs. Ea...
Abstract: We consider the problem of scheduling jobs with given release times and due dates on a sin...
The well-known strong NP-hard machine scheduling problem, i.e., minimization of the maximal tardines...
We study the problem of minimizing the number of late jobs on a single machine where job processing ...
Abstract: The following special case of the classical NP-hard scheduling problem 1|rj |Lmax is consi...
We present a polynomial (1 + #epsilon#)-approximation scheme for the strongly NP-hard problem of sch...
© 2015, Pleiades Publishing, Ltd. In this paper we proved the new properties optimal schedules for u...
International audienceThis paper is the first attempt to successfully design efficient approximation...
In this chapter, we consider the single machine scheduling problem with given release dates, process...
International audienceIn this paper we deal with the single machine scheduling problem with one non-...
[[abstract]]This paper considers a single-machine scheduling problem to minimize the maximum latenes...
. In the job shop scheduling problem we are given m machines and n jobs; a job consists of a sequenc...
International audienceWe consider a multiobjective scheduling problem, with the aim of minimizing th...
The strongly NP-hard scheduling problem of minimizing the maximum lateness on one machine subject to...
We consider the problem of scheduling n independent jobs on m identical machines that operate in par...
We consider the following scheduling problem. There arem parallel machines andn independent jobs. Ea...
Abstract: We consider the problem of scheduling jobs with given release times and due dates on a sin...
The well-known strong NP-hard machine scheduling problem, i.e., minimization of the maximal tardines...
We study the problem of minimizing the number of late jobs on a single machine where job processing ...
Abstract: The following special case of the classical NP-hard scheduling problem 1|rj |Lmax is consi...
We present a polynomial (1 + #epsilon#)-approximation scheme for the strongly NP-hard problem of sch...
© 2015, Pleiades Publishing, Ltd. In this paper we proved the new properties optimal schedules for u...
International audienceThis paper is the first attempt to successfully design efficient approximation...
In this chapter, we consider the single machine scheduling problem with given release dates, process...
International audienceIn this paper we deal with the single machine scheduling problem with one non-...
[[abstract]]This paper considers a single-machine scheduling problem to minimize the maximum latenes...
. In the job shop scheduling problem we are given m machines and n jobs; a job consists of a sequenc...
International audienceWe consider a multiobjective scheduling problem, with the aim of minimizing th...