This review discusses and analyses three main contributions championed by Professor
Mladenović. These include variable neighborhood search (VNS), variable formulation space …

Efficient scheduling of measurement and control resources plays a critical role in successful
satellite operations. The tremendous growth in the number of satellites in orbit exacerbates …

This study investigates the automated guided vehicle scheduling problem for serving the
tandem quay cranes in the automated container terminal. The tandem quay crane is …

In the traditional vehicle routing problem (VRP), a route plan is pre-determined and remains
unchanged afterwards. However in practice, several unforeseen events could occur at any …

Hub location problems are widely analyzed in fields of logistic and transportation industry for
cost reduction. In this paper, a novel algorithm framework based on machine learning is …

The endogenous driving forces of urban logistics development are as follows: the increasing
diversification of e-commerce logistics service demand, optimization of the warehouse …

As an emerging and sustainable technology, electric vehicles (EVs) are becoming
increasingly popular in the transportation system. However, they still have limitations in …

With the increasing prevalence of Online-to-Offline (O2O) commerce, online food ordering
platforms are handling tens of millions of daily food orders. For O2O platforms, an efficient …

This paper presents an algorithm based on the variable neighborhood search (VNS)
metaheuristic, called smart general VNS (SGVNS), to solve the multi-depot open vehicle …

This manuscript presents a flexible variable neighbourhood search (VNS)-based (Flexi-
VNS) algorithm to tackle both the classical Electrical Vehicle Routing Problem (EVRP) and …