Ant colony optimization is a technique for optimization that was introduced in the early
1990's. The inspiring source of ant colony optimization is the foraging behavior of real ant …

Efficiently coordinating the movement of trains on a railway network is a central part of the
planning process for a railway company. This paper reviews models and methods that have …

Optimization techniques inspired by swarm intelligence have become increasingly popular
during the last decade. They are characterized by a decentralized way of working that …

The current broadband coverage area requisites and the expected user demand is satisfied
by the state of the art satellite industry by using multiple spot beams of high throughput …

Air and rail transportation systems are characterized by important common features: they
serve a significant share of passenger traffic in Europe; their functioning relies on the …

In this work, we propose a hybridization of GRASP metaheuristic that incorporates a data
mining process. We believe that patterns obtained from a set of sub-optimal solutions, by …

The problem of routing trains through railway junctions is an integral part of railway
operations. Large junctions are highly interconnected networks of track where multiple …

Ant Colony Optimization (ACO)[1, 2, 3] is a metaheuristic for solving hard combinatorial
optimization problems inspired by the indirect communication of real ants. In ACO …

Recent research has shown that the hybridization of metaheuristics is a powerful
mechanism to develop more robust and efficient methods to solve hard optimization …

Among the many industrial wireless solution candidates, 5G New Radio (NR) has drawn
significant attention in recent years due to its capabilities to support ultra-high-speed …