The aim of this paper is to provide insights for better modeling hub location problems to help
create a road map for future hub location research. We first present a taxonomy to provide a …

The Benders decomposition algorithm has been successfully applied to a wide range of
difficult optimization problems. This paper presents a state-of-the-art survey of this algorithm …

Abstract Hub Location Problems (HLPs) lie at the heart of network design planning in
transportation and telecommunication systems. They constitute a challenging class of …

Hubs facilitate aggregation of connection, and switching points of material and people flow
to reduce costs as well as environmental pollution. Hub Location Problem (HLP) is a …

This study focuses on the development of a modeling framework for multi-period stochastic
capacitated multiple allocation hub location problems. We consider a planning horizon …

The enormous growth in the volume of river transportation and the upgrade of inland
waterways make inland shipping more and more important in transportation and logistics …

This paper presents a bi-objective, nonlinear mathematical model for designing a multi-
period hub network, considering a polynomial function for time-dependent transportation …

Our study provides an experimental benchmark for state-of-the-art solution algorithms with
hub location problems. Such problems are fundamental optimization problems in location …

This paper addresses risk-averse stochastic hub location problems where the risk is
measured using the conditional β-mean criterion. Three variants of the classical multiple …

This paper addresses the problems of distribution network design and gain sharing in a
collaborative context. We propose mathematical models to compare the performance of …