Electric vehicle technology is promising to reduce both the costs and environmental impact
of logistics operations. Consequently, much research is being carried out in this field. On the …

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 …

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 …

In real-life, routing plans try to optimize multiple objectives without relying on just one. So,
this paper introduces three multi-objective electric vehicle routing problems (MOEVRP) that …

Transportation planning has been established as a key topic in the literature and social
production practices. An increasing number of researchers are studying vehicle routing …

Electric logistics vehicles (ELVs) have the potential to significantly reduce pollution and
carbon emissions, which are considered highly promising for achieving green logistics …

In recent years, electric vehicles (EVs) have increased considerably in the logistics sector
with the implementation of greenhouse gas (GHG) emission regulations. However, the …

This paper introduces a novel hybrid approach, termed STO-IWGAN, aimed at enhancing
energy optimization in fuel cell electric vehicles (FCEVs). The key to maintaining the …

We propose a three-index formulation for E-VRP with Non-Linear charging and Load-
Dependent discharging (E-VRP-NL-LD), and an Adaptive Large Neighborhood Search …

With growing environmental concerns and tough carbon–neutral objectives, logistics
providers have to consider not only economic benefits but also environmental impact in the …