The design of supply chain networks (SCNs) aims at determining the number, location, and
capacity of production facilities, as well as the allocation of markets (customers) and …

This paper reviews the existing literature on the combination of metaheuristics with machine
learning methods and then introduces the concept of learnheuristics, a novel type of hybrid …

The Vehicle Routing Problem (VRP) is one of the most intensively studied combinatorial
optimisation problems for which numerous models and algorithms have been proposed. To …

Since the multidepot vehicle routing problem with time windows and three-dimensional
loading constraints (MDVRPTW-TDLC) is a multiconstraint and combinatorial optimization …

During natural disasters or accidents, an emergency logistics network aims to ensure the
distribution of relief supplies to victims in time and efficiently. When the coronavirus disease …

Abstract We present a Variable Tabu Neighborhood Search (VTNS) algorithm for solving a
class of Multi-Depot Vehicle Routing Problems (MDVRP). The proposed algorithm applies a …

Collaboration among service providers in a logistics network can greatly increase their
operation efficiencies and reduce transportation emissions. This study proposes, formulates …

This paper develops a three-step customer clustering based approach to solve two-echelon
location routing problems with time windows. A bi-objective model minimizing costs and …

Due to enormous demand and potential threat to public, hazardous materials transportation
has been tremendously investigated in recent years. However, there are few studies …

In the context of simulation-based optimisation, this paper reviews recent work related to the
role of metaheuristics, matheuristics (combinations of exact optimisation methods with …