Stanford University's GPS Laboratory has integrated a new multiple-antenna GPS receiver with an inertial measurement unit into the DragonFly unmanned air vehicle. Recent successful flight tests have demonstrated the performance of the new avionics and illustrated the great potential to use the aircraft as a testbed for navigation and control experiments. Unmanned air vehicles (UAVs) are attract...

The dragonfly algorithm was developed in 2016. It is one of the algorithms used by researchers to optimize an extensive series uses and applications various areas. At times, it offers superior performance compared most well-known optimization techniques. However, this faces several difficulties when utilized enhance complex problems. This work addressed robustness method solve real-world issues...

In the present scenario depletion of conventional sources causes an energy crisis. The crisis load demand with respect to electricity. use renewable plays a vital role in reducing and reduction CO2 emission. solar is major source power generation as this root cause for development wind, tides, etc. However, due climatic condition availability PV varies from time time. Hence it essential track m...

Antagonistic phenotypic plasticity may strongly influence trait evolution in tightly interacting predator-prey pairs as well as the role that trait plasticity plays in community dynamics. Most work on trait plasticity has focused on single predator-prey pairs, but prey must often contend with multiple predators in natural environments. Hence, a better understanding of the evolutionary and ecolo...

Design smell detection is considered an efficient activity that decreases maintainability expenses and improves software quality. Human context plays essential role in this domain. In paper, we propose a search-based approach to optimize the selection of human evaluators for design detection. For purpose, Dragonfly Algorithm (DA) employed identify optimal or near-optimal evaluator’s profiles. A...