In recent years, there has been a growing research interest in integrating machine learning
techniques into meta-heuristics for solving combinatorial optimization problems. This …

In the last few years, the formulation of real-world optimization problems and their efficient
solution via metaheuristic algorithms has been a catalyst for a myriad of research studies. In …

Online vehicle routing is an important task of the modern transportation service provider.
Contributed by the ever-increasing real-time demand on the transportation system …

During the past few years, research in applying machine learning (ML) to design efficient,
effective, and robust metaheuristics has become increasingly popular. Many of those …

The growth in e-commerce that our society has faced in recent years is changing the view
companies have on last-mile logistics, due to its increasing impact on the whole supply …

The vehicle routing problem (VRP) is a typical discrete combinatorial optimization problem,
and many models and algorithms have been proposed to solve the VRP and its variants …

As a result of rapid industrialisation, rising food demand globally, and, increasing concerns
associated with food safety and quality, the implementation of sustainable supply chain …

Coronavirus disease 2019 has brought a great challenge to the supply of daily necessities
and medical items for home-quarantined people. Considering the unmanned operation …

Optimization algorithms and particularly metaheuristics are constantly improved with the
goal of reducing execution times, increasing the quality of solutions, and addressing larger …

This paper provides a systematic overview of machine learning methods applied to solve NP-
hard Vehicle Routing Problems (VRPs). Recently, there has been great interest from both …