"Drunk Man" Saves Our Lives: Route Planning by a Biased Random Walk Mode

10/04/2020
by   Xinyi Hu, et al.
0

Based on the hurricane striking Puerto Rico in 2017, we developed a transportable disaster response system "DroneGo" featuring a drone fleet capable of delivering the medical package and videoing roads. Covering with a genetic algorithm and a biased random walk model mimicking a drunk man to explore feasible routes on a field with altitude and road information. A proposal mechanism guaranteeing stochasticity and an objective function biasing randomness are combined. The results showed high performance though time-consuming.

READ FULL TEXT

Please sign up or login with your details

Forgot password? Click here to reset