Small unmanned aerial vehicles (UAVs) have gained significant interest in the last decade.
More specifically these vehicles have the capacity to impact package delivery logistics in a …

Multiproduct pipeline scheduling problem has garnered increasing attention over the past
few decades due to potential economic savings and increased operational efficiency. This …

Multi-agent collaborative navigation is prevalent in modern transportation systems, including
delivery logistics, warehouse automation, and personalised tourism, where multiple moving …

Effective task scheduling can significantly impact on performance, productivity, and
profitability in many real-world settings, such as production lines, logistics, and …

This study presents the Pollution Traveling Salesman Problem with Refueling, a novel
optimization problem which integrates two recently proposed variants of the Traveling …

Deep Learning models have important applications in image processing. However, one of
the challenges in this field is the definition of hyperparameters. Thus, the objective of this …

Multi-robots can perform complex tasks such as exploration, foraging, and formation.
Efficient communication between robots can contribute to the accomplishment of collective …

Recent technology development brings the booming of numerous new Demand-Driven
Services (DDS) into urban lives, including ridesharing, on-demand delivery, express …

Battery level is a critical issue in AGV transportation systems, as AGVs cannot run out of
power while operating. Hence, at some point they will be forced to stop and recharge at any …

The consumption of energy by Machine Learning (ML) has increased significantly. There is
growing concern about the sustainable use of ML, where choosing the best ML model …