We review the latest theoretical developments for the single-machine total tardiness 1//T¯
scheduling problem and propose extensions to some of them. We also review (and in some …

Swarm intelligence is a relatively new approach to problem solving that takes inspiration
from the social behaviors of insects and of other animals. In particular, ants have inspired a …

In this paper, we investigate the use of the deep learning method for solving a well-known
NP-hard single machine scheduling problem with the objective of minimizing the total …

Фундаментальными задачами теории расписаний для одного прибора являются
задачи с критериями минимизации суммарного запаздывания и минимизация …

This paper proposes a distributionally robust optimization (DRO) model for single machine
scheduling with uncertain processing times. The processing time of each job is assumed to …

Various integer programming models have been proposed for sequencing problems.
However, little is known about the practical value of these models. This paper reports a …

The first relativistic calculation of elastic π d scattering from threshold to T π lab= 260 MeV is
presented, based upon a completely coupled set of integral equations. The effects of …

This paper presents a modified Branch and Bound (B&B) algorithm called, the Branch,
Bound, and Remember (BB&R) algorithm, which uses the Distributed Best First Search …

In this paper, we present a Branch-and-Bound procedure to minimize total tardiness on one
machine with arbitrary release dates. We introduce new lower bounds and we generalize …

This paper considers a single machine identical-jobs order scheduling problem with a
position-dependent learning effect (SIOSLE) to minimize the total tardiness. A learning effect …