This paper presents a new data classification method based on mixed-integer programming. Traditional approaches that are based on partitioning the data sets into two groups perfor...
We propose a multivariate statistical framework for regional development assessment based on structural equation modelling with latent variables and show how such methods can be c...
The robust spanning tree problem is a variation, motivated by telecommunications applications, of the classic minimum spanning tree problem. In the robust spanning tree problem ed...
Sensitivity analyses have long been used to assess the impacts of uncertainties on outcomes of decision models. Several approaches have been suggested, but it has been problematic...
Balancing assembly lines is a crucial task for manufacturing companies in order to improve productivity and minimize production costs. Despite some progress in exact methods to so...
Sophie D. Lapierre, Angel B. Ruiz, Patrick Soriano