As energy overuse and generated pollution have a potential threat to our environmental and
ecological conditions, many researchers have taken the initiative way to join the green …

Recent decades have seen increasing utilization of optimization packages, based on
Operations Research and Mathematical Programming techniques, for effective management …

Traffic congestion is a major concern in urban transportation in supply chain management.
Road-based logistic companies can mitigate their Carbon dioxide (CO2) emissions …

Recently, a taxonomic review of the Vehicle Routing Problem (VRP) literature published
between 2009 and June 2015 stated that most of the surveyed articles use metaheuristics …

Vehicle routing problems have been the focus of extensive research over the past sixty
years, driven by their economic importance and their theoretical interest. The diversity of …

Hyper-heuristics are search techniques for selecting, generating, and sequencing (meta)-
heuristics to solve challenging optimization problems. They differ from traditional (meta) …

Due to growing environmental concerns about greenhouse gas (GHG) emissions, people
are more incline to use electric vehicles in various distribution services. Because of the …

The green vehicle routing and scheduling problem (GVRSP) aims to minimize green-house
gas emissions in logistics systems through better planning of deliveries/pickups made by a …

This work presents a new variant of the Green Vehicle Routing Problem with time windows.
We propose an iterative local search heuristic to optimize the routing of a mixed vehicle fleet …

Due to the complexity and the magnitude of optimisation models that appeared in
sustainable supply chain management (SSCM), the use of meta-heuristic algorithms as …