论文标题
“醉汉”挽救了我们的生命：路线按偏见的随机步行模式进行计划
"Drunk Man" Saves Our Lives: Route Planning by a Biased Random Walk Mode
论文作者
论文摘要
根据2017年的飓风袭击波多黎各，我们开发了一种可运输的灾难响应系统“无人驾驶飞机”，该系统具有无人机舰队，能够提供医疗套餐和视频道路。用遗传算法和一个有偏见的随机步行模型覆盖，模仿一个醉酒的人，探索具有高度和道路信息的田野上的可行路线。合并了保证随机性和目标函数偏见随机性的建议机制。结果表明虽然耗时。
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.
