Recently, unmanned aerial vehicles (UAVs) have attained considerable attention for providing reliable and cost-effective communication due to the flexibility of deployment line sight (LoS) propagation. Efficient UAV path planning is one key aspects that need be addressed minimize energy consumption satisfy rate requirements user. Thus, in this work, we propose a novel framework utilizes modifie...

The high-dimensional search space involved in markerless full-body articulated human motion tracking from multiple-views video sequences has led to a number of solutions based on metaheuristics, the most recent form of which is Particle Swarm Optimization (PSO). However, the classical PSO suffers from premature convergence and it is trapped easily into local optima, significantly affecting the ...

Velocity limit (VL) has been widely adopted in many variants of particle swarm optimization (PSO) to prevent particles from searching outside the solution space. Several adaptive VL strategies have introduced with which performance PSO can be improved. However, existing simply adjust their based on iterations, leading unsatisfactory results because incompatibility between and current state part...

The efficiency of hybrid electric powertrains is heavily dependent on energy and power management strategies, which are sensitive to the dynamics powertrain components that they use. In this study, a Modified Particle Swarm Optimization (Modified PSO) methodology, incorporates novel concepts such as Vector concept Seeded concept, has been developed minimize fuel consumption NOx emissions for an...