id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-248301-hddxaatp	Howard, Daniel	Genetic Programming visitation scheduling solution can deliver a less austere COVID-19 pandemic population lockdown	2020-06-17		.txt	text/plain	7985	426	62	A number of alternatives for this computation are presented and results of numerical experiments involving over 230 people of various ages and background health levels in over 1700 visits that take place over three consecutive days. A novel partial infection model is introduced to discuss these proof of concept solutions which are compared to round robin uninformed time scheduling for visits to places. A method of optimization, in this proof of concept this is a Genetic Programming [7] method, takes these requests and simulates the outings by means of an infection model, to discover a nearly optimal allocation of precise time slots for visits that reduce the likely hospitalization and death numbers.	./cache/cord-248301-hddxaatp.txt	./txt/cord-248301-hddxaatp.txt