Column generation for solving linear programs with a huge number of variables alternately solves a (restricted) master problem and a pricing subproblem to ad...

The min-max <i>k</i>-vehicles windy rural postman problem consists of minimizing the maximal distance traveled by a vehicle in order to find a set of b...

Modularity maximization is extensively used to detect communities in complex networks. It has been shown however that this method suffers from a resolution l...

We study the problem of packing equal circles in a square from the mathematical programming point of view. We discuss different formulations, we analyse fo...

In a recent paper, Zhan, Zhang, Guan, and Zhou [Phys. Rev. E <b>83</b>, 066120 (2011)] presented a modified adaptive genetic algorithm (MAGA) tailored to the...

Organizational behavior and stakeholder processes continually influence energy strategy choices and decisions. Although theoretical optimizations can provide...

The maximum-stable-set and maximum-clique problems are operations research problems that arise in numerous areas such as social networking, electrical engin...

In the last ten years, finding communities in networks, has been the subject of intense studies. If modularity maximization is still one of the mostly studi...

Finding communities, or clusters, in networks, or graphs, has been the subject of intense studies in the last ten years. The most used criterion for that pu...

Climate change is one of the greatest challenges facing our planet in the foreseeable future and despite the urgency of the situation global GHG emissions ...

The sophisticated and automated means of data collection used by an increasing number of institutions and companies leads to extremely large datasets. Sub...

We present a branch-price-and-cut method to solve a maritime pickup and delivery problem with time windows and split loads. The fleet of ships is heterogen...

Classical control charts detect when a process loses its stability, but they do not give indications on the gravity of the instability and on the risk incu...

In chemical graph theory, many graph parameters, or topological indices, were proposed as estimators of molecular structural properties. Often several varian...

Operational problems arising in the planning of integrated supply chains have been increasingly studied in the past decade. Among these, the production rout...

We consider a class of infeasible, path-following methods for convex quadratric programming. Our methods are designed to be effective for solving both nonde...

A travelling deliveryman needs to find a tour, such that the total waiting time of all his customers is minimum. The Deliveryman starts his tour at a depot...

In this article we address the model order reduction problem for resistor networks by using methods from graph theory. We formulate this problem through gr...

Monte Carlo method for estimating multidimensional integrals, with applications to rare-event probability estimation. The method fuses two distinct and po...

Randomized quasi-Monte Carlo (RQMC) can be seen as a variance reduction method that provides an unbiased estimator of the integral of a function <i>f</i> ov...