OPTIMISATION OF MULTIPLE DRONES’ PATHS

This project deals with generating conceivable co-operative pathway to form rendezvous of unmanned aerial vehicles (UAVs). Co-operative path-planning for multi-UAV formation rendezvous is essentially a convoluted multi-target optimisation perplexity with many coupled constraints genetic algorithm with elite keeping tactics to effectuate a flyable and safe path for each UAV. There are several algorithms to find the shortest path is in between several coordinates. Our project deals with finding the optimised path for a single drone and multiple drones. As we said earlier, the algorithm we use is genetic algorithm apart from several other ones. The advantage of using genetic algorithm is that it can do a global search and explore the search space using their different kind of crossover. It is widely used to solve the path search problems in the relevant application, including network routing algorithm, artificial intelligence, game design, etc. It can be subjected to various constraints, and still, we can obtain the best possible route/path. So, what we finally get from this research is that the optimal path for a drone to travel in the shortest distance possible.