Mobility and transportation activities in smart cities require an increasing amount of energy.
With the frequent energy crises arising worldwide and the need for a more sustainable and …

Many real-life applications of the vehicle routing problem (VRP) occur in scenarios subject to
uncertainty or dynamic conditions. Thus, for instance, traveling times or customers' demands …

This research presents a novel methodology for enhancing energy efficiency in industrial
manufacturing systems through machine learning techniques. Specifically, the study focuses …

Delivery systems are ubiquitous in today's economy. However, those systems usually
operate through purpose-built vehicles, which are inefficient, expensive, and highly harmful …

Vehicle-to-grid (V2G) systems play a key role in the integration of electric vehicles (EVs) into
smart grids by enabling bidirectional energy flows between EVs and the grid. Optimizing …