The goal of Machine Learning to automatically learn from data, extract knowledge and to
make decisions without any human intervention. Such automatic (aML) approaches show …

Transportation problems are nowadays strategic issues which aim at selecting the routes to
be opened between different facilities in order to achieve an efficient distribution strategy …

This paper deals with a sustainable supply chain network design problem (SSCNDP) arising
in the public sector. In the considered SSCNDP, given a manufacturer, a set of m potential …

In this paper, we are addressing the two-stage transportation problem with fixed charge for
opening the distribution centers, which is an extension of the classical transportation …

This article considers the two-stage fixed-charge transportation problem which models an
important transportation application in a supply chain, from manufacturers to customers …

This paper is focusing on an important transportation application encountered in supply
chains, namely the capacitated two-stage fixed-charge transportation problem. For solving …

In this article, we consider the capacitated fixed-charge transportation problem in a two-
stage supply chain network, in which the manufacturer can ship to any of the existing m …

This paper deals with a complex optimization problem, more specifically the two-stage
transportation problem with fixed costs. In our investigated transportation problem, we are …

This paper concerns the two-stage transportation problem with fixed charges associated to
the routes and proposes an efficient multi-start Iterated Local Search (ILS) procedure for the …

In the current paper we take a different approach to a particular capacitated two-stage fixed-
charge transportation problem proposing an efficient hybrid Iterated Local Search (HILS) …