This article provides a survey on the highly popular metaheuristic framework, the adaptive
large neighborhood search (ALNS). The basic concepts of ALNS are discussed in this …

Research on metaheuristics has focused on (novel) algorithmic development and on
competitive testing, both of which have been frequently argued to yield little generalizable …

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 …

The vehicle routing problem with backhauls (VRPBs) is a challenging problem commonly
studied in computer science and operations research. Featured by linehaul (or delivery) and …

This paper introduces the hub location problem with Bernoulli demands (HLPBD). The
problem is a variant of capacitated stochastic hub location problems in which demands for …

Nowadays, designing a reliable hub network has become a critical issue in the process of
transporting goods from an origin to a destination. Due to intentional disasters, both location …

Hub location problems (HLPs) constitute an important class of problems in logistics with
numerous applications in passenger/cargo transportation, postal services …

The hub location problem (HLP) is a fundamental facility planning problem with various
applications in transportation, logistics, and telecommunication systems. Due to strategic …

The design of hub-and-spoke transport networks is a strategic planning problem, as the
choice of hub locations has to remain unchanged for long time periods. However, strikes …

Hubs are intermediate facilities that play a pivotal role in efficient functioning of
transportation and telecommunication systems. Like any other service infrastructure, hub …