Hub-and-spoke systems have wide applications ranging in airline transportation, freight transportation, urban traffic, postal delivery, telecommunications and distribution in supply chains. These systems are usually characterized by stochastic demand and congestion, which adversely affect the...

The bandwidth packing problem seeks to select and route a set of calls from a given list, each with a pre-specified requirement for bandwidth, on an undirected communication network such that the revenue generated is maximized. In this paper, we present a model and an exact solution approach for...

We consider a class of location-allocation problems with immobile servers, stochastic demand and congestion that arises in several planning contexts: location of emergency medical clinics; preventive healthcare centers; refuse collection and disposal centers; stores and service centers; bank...

The Combinatorial bandwidth packing problem (CBPP), arising in a telecommunication network with limited bandwidth, is defined as: given a set of request, each with its potential revenue and consisting of calls with their bandwidth requirements, deciding (i) a subset of the requests to...

This paper presents a preference-based method to handle optimization problems with multiple objectives. With an increase in the number of objectives the computational cost in solving a multi-objective optimization problem rises exponentially, and it becomes increasingly difficult for...

The use of robo-readers to analyze news texts is an emerging technology trend in computational finance. In recent research, a substantial effort has been invested to develop sophisticated financial polarity-lexicons that can be used to investigate how financial sentiments relate to future...