Modified Mayfly Algorithm for UAV Path Planning

The unmanned aerial vehicle (UAV) path planning problem is primarily concerned with avoiding collision obstacles while determining the best flight to target position. This paper first establishes a cost function transform UAV route issue into an optimization that meets UAV’s feasible requirements and safety constraints. Then, this introduces modified Mayfly Algorithm (modMA), which employs exponent decreasing inertia weight (EDIW) strategy, adaptive Cauchy mutation, enhanced crossover operator effectively search configuration space discover lowest overall cost. Finally, proposed modMA evaluated on 26 benchmark functions as well problem, results demonstrate it outperforms other compared algorithms.