Path planning is an important part of the navigation control system of mobile robots since it
plays a decisive role in whether mobile robots can realize autonomy and intelligence. The …

Aiming at disadvantages of particle swarm optimization in the path planning of mobile
robots, such as low convergence accuracy and easy maturity, this paper proposes an …

The data aggregation process in this study has been enhanced by the hybrid firefly-artificial
bee colony algorithm (HFABC) by increasing the average packet delivery ratio, end-to-end …

High-altitude platform station (HAPS) is a promising technology for extending the coverage
of cellular networks. For multi-HAPS scenarios in which multiple HAPSs use a single shared …

A new swarm intelligence-based metaheuristic optimizer, namely Partial Leader Optimizer
(PLO), is presented. PLO contains several autonomous agents that represent the solution …

In this paper, we propose an unmanned aerial vehicle (UAV)-assisted air-ground
cooperative network scheme to improve system throughput and enhance user fairness by …