Branch-and-Cut is a powerful algorithm used for solving MILP problems. It involves two main sub-algorithms: branch-and-bound and cutting plane. On the one hand, the branch-and-bound algorithm comprises two strategies that are node selection strategy and ...

The distribution of products from depots to customers is a challenging problem in logistics management. The location of depots and the distribution of product from these depots to clients are two fundamental key of distribution system. The location-...

In reality, many transport companies give the possibility to use an overtime to complete the service. However, this concept is less treated in the literature of the VRP in general and of the DVRP in particular. This paper presents an approach, based on ...

Nowadays, Container terminals play an important role as members of a supply chain. As a consequence, the optimization of port operations is becoming highly needed in order to meet the requirements of the sector. For this reason, we focus our attention on ...

In this paper we apply the bag of feature method to the car make and model recognition problem. By using a sparse coding technique we learn a dictionary of codewords over a dataset of Square Mapped Gradient feature vectors obtained from a densely sampled ...

Aircraft maintenance routing is of basic significance to the safe and efficient operations of an airline. However, the timely efficiency of the airline flight schedule is susceptible to various factors during the daily operations. Air traffic often ...

In this paper, we propose a novel vision of image restoration problem. Based on the classical image restoration model, we introduce a modified optimization model with a new decision vector that indicates the pixels categories. Depending on the degraded ...

We consider the user equipment (UE) velocity as a vital trend in association problem in heterogeneous networks (HetNets), since there is a considerable relation between the velocity and the handover failure (HOF) as well as the probability of unnecessary ...

In this paper, we present a solution for main content identification in web pages. Our solution is language-independent; Web pages may be written in different languages. It is topic-independent; no domain knowledge or dictionary is applied. And it is ...

The electricity distribution system provides major opportunities for smart grid because of its important role of distributing electrical power from the main grid to users, it has the potential to supply electricity during grid outages. An outage or ...

A large variety of real-world problems in artificial intelligence can be viewed as Constraint Satisfaction Problems CSPs, Max-CSP, Weighted CSP, and other extensions. All resolution methods generate a solution. But, in some cases, these solutions are not ...

Nowadays, predictive models -especially the ones based on machine learning- are widely used to solve many big data problems. One of the main challenges within predictive models is to choose the best model for each problem. In particular, model selection ...

The extent to which data mining tools are able to make efficient use of an open data oriented strategy in a smart city is limited. In a sense that it is not fully automated, incompatible or has to be supervised. These sets of tools may offer the ...

Real time data analytics is the ability to extract valuable information from live data. It represents a big opportunity to drive smart strategic decisions at the right time. The organizations which adopted this concept, such internet firms, have created ...

Renewable energy1 power has been playing an important role in power production due to both being environmentally clean and its successful integration into the power systems. The evaluation of reliability of electrical networks is of a great importance ...

This paper presents an application of new metaheuristics, based on the penguins hunting strategy, Penguins search optimization algorithm (PeSOA) for solving one of the most difficult NP-hard combinatorial optimization problems in discret case the ...

Clustering1is an essential task in many areas such as machine learning, data mining and computer vision among others. Cluster validation aims to assess the quality of partitions obtained by clustering algorithms. Several indexes have been developed for ...

The increasing use of Cloud services as well as the increasing demands of complex cloud services creates the need for a dynamic and adaptive composition of services, in a decentralized and large scale environment, where the quality of services may ...

This article presents GAEMS (Automatic generator of mathematical exercises based on semantic), an exerciser for secondary education allowing a teacher to create and distribute versions of mathematical exercises for based on ontology. These versions of ...