id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-343767-nnx8adtl	Liu, Ziyuan	Path Optimization of Medical Waste Transport Routes in the Emergent Public Health Event of COVID-19: A Hybrid Optimization Algorithm Based on the Immune–Ant Colony Algorithm	2020-08-12		.txt	text/plain	6143	304	50	To a certain extent, the model and the algorithm are proposed to solve the problem of medical waste disposal, based on transit temporary storage stations, which we are convinced will have far-reaching significance for China and other countries to dispatch medical waste in response to such public health emergencies. In this paper, the immune algorithm, the q-value method, and the improved ant colony algorithm are applied to the model to solve the path planning problem of the transport of medical waste. The studies of this paper are to establish a number of transport stations and an efficient medical waste transport model between hospitals and transport stations and, eventually, optimize the transportation paths. For the path optimization problem between the transport station and the hospitals, we used the ant colony optimization algorithm and the tabu search algorithm to solve it, which is a vehicle routing problem with load constraints (CVRP).	./cache/cord-343767-nnx8adtl.txt	./txt/cord-343767-nnx8adtl.txt